Jump to content
  • Join the online East Midlands astronomy club today!

    Test

version 6 of Startools used and reprocessing of Crescent nebula in HA


Recommended Posts

Startools version 6 downloaded this morning and it is indeed a much improved version, but i`ll let you be the judge of that, have reprocessed my data on the Crescent Nebula in HA with no calibration files added.

 

new startools 6 version 3

 

  • Like 4
Link to post
Share on other sites
  • Replies 13
  • Created
  • Last Reply

Top Posters In This Topic

  • red dwalf

    7

  • Bottletopburly

    4

  • Clive

    3

Popular Days

Top Posters In This Topic

Popular Posts

Startools version 6 downloaded this morning and it is indeed a much improved version, but i`ll let you be the judge of that, have reprocessed my data on the Crescent Nebula in HA with no calibration f

will do matey once I get back in the obsy

----------------------------------------------------------- StarTools 1.6.394RC Fri Jun 05 11:45:49 2020 ----------------------------------------------------------- ------------------------

Bottletopburly

Looks good rob I will have a better look once I put my glasses on lol  can you post the  processing log  txt file it’s in the Startools folder  it will show your workflow 👍

Link to post
Share on other sites


-----------------------------------------------------------
StarTools 1.6.394RC
Fri Jun 05 11:45:49 2020
-----------------------------------------------------------

-----------------------------------------------------------
StarTools 1.6.394RC
Fri Jun 05 11:46:32 2020
-----------------------------------------------------------

-----------------------------------------------------------
StarTools 1.6.394RC
Fri Jun 05 11:47:04 2020
-----------------------------------------------------------

-----------------------------------------------------------
StarTools 1.6.394RC
Fri Jun 05 11:48:15 2020
-----------------------------------------------------------
File loaded [C:\Users\User\Desktop\new cresent nebula 3 june\version 3.FTS].
Image size is 2749 x 2199
--- 
Type of Data: Linear
--- Auto Develop
Parameter [Ignore Fine Detail <] set to [Off]
Parameter [Outside RoI Influence] set to [15 %]
Parameter [RoI X1] set to [1026 pixels]
Parameter [RoI Y1] set to [1055 pixels]
Parameter [RoI X2] set to [1462 pixels (-1287)]
Parameter [RoI Y2] set to [1439 pixels (-760)]
Parameter [Detector Gamma] set to [1.00]
Parameter [Shadow Linearity] set to [50 %]
--- Crop
Parameter [X1] set to [145 pixels]
Parameter [Y1] set to [140 pixels]
Parameter [X2] set to [2719 pixels (-30)]
Parameter [Y2] set to [2136 pixels (-63)]
Image size is 2574 x 1996
--- Wipe
Parameter [Mode] set to [Correct Color & Brightness]
Parameter [Precision] set to [256 x 256 pixels]
Parameter [Dark Anomaly Filter] set to [Off]
Parameter [Drop Off Point] set to [100 %]
Parameter [Corner Aggressiveness] set to [100 %]
Parameter [Aggressiveness] set to [75 %]
--- Develop
Parameter [White Calibration] set to [Use Stars]
Parameter [Gamma] set to [1.00]
Parameter [Skyglow] set to [0 %]
Parameter [Digital Development] set to [90.28 %]
Parameter [Blue Luminance Contrib.] set to [100 %]
Parameter [Green Luminance Contrib.] set to [100 %]
Parameter [Red Luminance Contrib.] set to [100 %]
Parameter [Dark Anomaly Headroom] set to [5 %]
Parameter [Dark Anomaly Filter] set to [Off]
--- Bin
Parameter [Scale] set to [(scale/noise reduction 50.00%)/(400.00%)/(+2.00 bits)]
Image size is 1287 x 998
--- Contrast
Parameter [Expose Dark Areas] set to [No]
Parameter [Compensate Gamma] set to [No]
Parameter [Precision] set to [256 x 256 pixels]
Parameter [Dark Anomaly Filter] set to [3 pixels]
Parameter [Aggressiveness] set to [50 %]
Parameter [Dark Anomaly Headroom] set to [50 %]
--- HDR
Parameter [Small Detail Precision] set to [Max]
Parameter [Channels] set to [Brightness Only]
Parameter [Algorithm] set to [Reveal DSO Core]
Parameter [Dark/Bright Response] set to [Full]
Parameter [Detail Size Range] set to [1000 pixels]
Parameter [Strength] set to [1.2]
--- Wavelet Sharpen
Parameter [Structure Size] set to [Large]
Mask used (BASE64 PNG encoded)

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

--- SNR-aware Wavelet Sharpening
Parameter [Scale 1] set to [100 %]
Parameter [Scale 2] set to [100 %]
Parameter [Scale 3] set to [100 %]
Parameter [Scale 4] set to [100 %]
Parameter [Scale 5] set to [100 %]
Parameter [Mask Fuzz] set to [4 pixels]
Parameter [Amount] set to [100 %]
Parameter [High SNR Size Bias] set to [85 %]
Parameter [Low SNR Size Bias] set to [0 %]
Parameter [Dark/Light Enhance] set to [50% / 50%]
Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAkH0lEQVR4AezVS5KsuNUH8Kym4+obfNFMPTK9DI86vRQvwcMeOExlsDHYiZbAkAGh4+Stt45eQNXtf8S9lUki6YeQjh6gC633j4yAMdxtHhme/Lde+AYgD8ceomAsuaG7n09Ikwg7Ufg6fqcewiZYCDhhfwjl/m8iXOIUmmMT+oVJe5nxQsALaVYhK/krdxd2shAZ37GnMccqTAgnCJt0QhX8Si50FNUgoX2ibSU+UGghWYQvpFDch/FCiBQSpHBKsLBZDpS5n0xCIZyw12AdQn30wuZGQrAKwVPIJY9weMpCuIkQtEJvVJDQr9eUQl0c1cZHCIJQc9mcNomwySbs67zCPZ0q7O3FOJ2wsQn3yerUy6cKxyKnsLhAuI6NE9I4ISOzsBJ7faYTvhMnHMOFfLqkQu4wn4RgE2KTXShlFb4SCZtswo9EQkAJudPULRzihNKaMeY9jEH459MhXLMLW7+JCRP+Uu6rof8TuREwQka0QhollM/9ZdUNKvv+wuZUYQH+Qsgk5NoYhNIkuYXgJ3zHLixk4VRetHX9EHbBwjKgjVYILmF42gzCvuaFUxxC6wTnEFISIuTWlvBuvYTUTwh+wqMbYX94CdupE2UvKxuLWo46lPCHIKx8hSALAS80LDirkOKFrAwSEpHSmLo3CccMQjEXCJs8Qi4/yvOEJEgYmq1KoYTrk0tCvvV9hBljWgD3F8KFQpJcKPY9lsG0tRblFg5XC5kN4CdUjket0JmkQnHs/ixhm1oofIoTDpVJqJ9p5hDqrJHCUhJOmVe2LFyWu1O474oYIR+tUHmOeejy9sLHU3MVvrqQphKqad+WVhX2uolptMKFGS80pV3/WYQvrVDMIhzMOz6lcN4V30PICkX4u9B1nVCo7AtfIWiFSreSUFzLQhpJONrO15fwjTiF2+W27lMIp9BUwvllM3+hpqTKa94qhC8rBD8h8REORRKhPruQgk7Irz2LsAoXAkK4jSicTKJQGFEQdlqh1yS5UnCVkJsxUThcKeRr9YASCrlOCF9FuP1gF1ojNbXU/auEECGk6x+DcPhjFyasHpuQlXih6fmGvz+SuaKExvd0Z+ErvVB5X99ECFcKPaIV9tNqYTcRQjIhM9akobqvsEsh7J/yFZJSONn0Bzcrkdul//0OQppTODwvEC49SMLGJSzF77Nw4Hvv62uF2u+xQir3IfSQRPjk3jEv7Ou38FFjhMaYhKO0qpzCklcJWnFSMUKhBVZonVNJOM6fWz8h32ESoSLmqp4k/NQJBYRROF00VRudkK808hEQJZz27UXCOZmEutiE/BNJwhf4Co/nxgg7nFDVegr3QcpQYecrhGzCJrWwccyBGEE4X/AQqhPxxAghk3C7M0BoT5NaCFHCtvYVqmRJSE1CCBJ+ZhDWPkJi/KnJKASbsMEKC62wTSm0Ts3WGC1cV3H7roOnCw2rwSwEb2H5xYSO+Aq3w9kpNJcFT6EUpxDOElLzT29hh34iqZ+h8hYOz3XQTEJpBpFC3iAJ9w6pddxbC+eKmEJoDid8359d+O86k1CThcV+rQSh4zS3CscSLTw6tAjbQwho4dyjqVeU0JnjEU4XQpgQxjOF4wnCTekpHIy1SBl0u5WVrZviKWRmYa+dvM4uhLPCHmOlF36uN/wo8c97sZDeWLgcmm19sZD4CJVu8okn4VwIR5Pwfd0spC6heqIzeSCncP0wGBqeKCRhQri/cI8sHKqx8hbSRbgeRWKzaKE82FDuQuGYoJcJQSMElxDuJizcwjlaoRwy94sVvuKETDqYnMLpF0noiFa4f8QLsUki3GeQG78w3HuNUDf+WcJerc0IYWO51yjsrF2ahU/lUuMWFqinQQq5zpFCiBI20MqXxvIQWsdLIlyyC9X5buDzFGGHFIq2hML9RbDHeULwEm5tTBtvFVJhoVm3UGohwQnb2lsIgnDGTf+hqqQobDHCz104jdLoqidCaBvIT0i58YdKJ6S6d2RjBwvp7YWMSHW1wQghsVC5JtZDpBDihLq0KYXtlULACLnGZQgGK+yQwjRp8ggTBilk26EhCIm5mfxWA0OTColBODxRxcshnJds9zWFoArBKCQZhKvr6wu1anEvD6KQeApH89bSCQtf4dszPIWl6C9kptKgm7mkQlzGajxDyJV1vLCY36BeaDwWfwoheArfxlko9mAUgq9w7u35cwnnVwL9f8vEwpCsx9p6KtxRKPUqCI+XMgT0nkX4FjX5hMW3FfJH8i6UMws9X5MsNHRtD52FjSzswoXdOcIXyKfSbYRrVOEcQcgvDqQwBJlIyJ0UgUKmGW4XAnwihULSCafWzD4cTSgEjLBwC8VFpBWasmlihB8W4VBhhIAQuq5dJHy3UzTG5aATgkF4RCuU0tf6z4pw6SVaKMYqXH/ki4pUpM8TGiavtAkn2vpkjwIj/GEUFhaELjRC2AUJIUBIcMI1ghDOElKn8FFLQhCOEK7RcuOPR2cfWF+kNlUtC9t6Ex4RKndS4bxcTMKXWShso/em4oUdJ/yl2GqvTcjSC0erkKuN0wnQGEdPL4RNuFtcwil5hPP1QyjMmVsoxiLcZtqyl02H2iG03XYIm1sJh6dksZ7dmDB8PewMclFYmWYLE93jGIUdXrgeWPPKHqKmLJVQ7tZXKFcAUSgrEwjhHsL3Dri/kPtjFmJCrTfqhc6q1NmEvsEKl8HuJzziFlKd0HROu8K167MI90YJhNioQnmN0uN5u5iREO0KD2GjFcIVwrUhV21OEXYphaAT+kU9aJMI+6dJ6O1NLJwjCcUEC0lCIVwihBsJIYtwvxC8bxILzeQMQppWKGZElMbGdcNXFErdnipk5MsJabBweCLcaYSQU+idS4U9pgVOKDdKJax8W1wj1BfmF8QEtZfNg6OEHzcWLu9iF0rrsDtTSC8SFsfHD5fwmVU4VNFC/eVThRAuhPxC6iUcD0cjDVZihF0W4Zq+FoUFqpV0IvkI4TbC0S18XSt0hSIHmoSsPFnoml6scB2W6YtWb3kUPyGtnUhWLgriI5Q3fWbh8lei3F7IPn5ioRiEcAvRupn9eI8Q0kTCgCCFrZaGnxFF2CQSklRCJfcSdgmFnV7IyL2FxdcQQkS6mMYOIWxCuEbYP88RQkKhNo+SkebmQp+F7ROSSDgkFLbJhJ2vEHnwxgn51q+8wvVu1AbkhJ8WIaQW0horbN3CMZVwrCQh7qEelUuIClIIaOHeoV44fsBQ+SKTCtlvDiHJKwQIErb3FLKHLPk4RagxkYxCql7qvR/wLeQeQS8cnhcK2W9EP8n8qXcIkfU3pXA0Cw/N8Jxu+bD109dJhZ2vsJhueV0kLA1bSRUCXtiaS0aQUBteCE06IS7nCmmQcK+Cxs3J72Vo5F9HoYoqSSk0xiQkpwjBVwiK8KGutKVq5hc2KYQ0Wjj8gRMWgcL4DH8YNsjLKNyO412obO+0QlNnbiFECBs/obbDXUjsQjCcRGcIQRJuBfNk4aZ0CWHf9ezhJ+xyCcEkHHeh8ZwU7BcI9/I0ljRUCCmFIAi7S4SOIITySty+5xI2euEcpLDUX081Zx9WIX+Q31Ooi0mYKVYh+An7LNQAoSK+vXBPpFCzjmkKIa3/EiYQvtaPg0vY18ol7ogzCOVkFLKSFxJvYRMvBPvJ7RJKEtN1b2F/e+E74cJOEK6v+Uoh/20V8rlcqIlOSBp7m5gzRRQSBPh0ISQRwvnCl2c7Ne1PJORrR6gQThMeQQvpzYXDM1LYBAu7Wwn1RuW+yk8IyYSmWcwhpNHCsfQWws2FyMjC1rP9txE+bV/zCt/pa6fQDsYJIVroEfGwjBNiRj9ZuO/pzjz6UI1VLuHRGSs5oe7Vegpb4itc9/cZwjnfTLj2orvqK3wZ+s4o/LPCCsEmVK+lEqqXI4X0JCH4CQEaRejI7F+WtqM6fTshoISNbcClOD+ecULdENtWChIee30TVlcJwSQkoUIVcgiJIhz1283gbVzCsMQKp9sQwiFK2NeRwtXgI1wvo4WdRrgMFChUOkskVDZHhNCe4R9BQs327Z8eQrin8Bg0sZCRQ7gXqiihKyPfuW0ZdkmEnkV3RhGk8FMnNCaX0JZ7Cl/BQk2oJLSe3xHCY4C0wi5KSK1C6iPkOyhNkxEhHMkVwhIpBJfQta5kIUUKvZ4+Sqj0+jxN+HQJ9WU2pRCswtZTuG1nnZBeKJzqKK2nP3ohJBJWFqE5gpA9FiF77O22WkiwwuIiIbtOOKX/tZSEx6K4Vrit3P7XB9B/TsJVtv0teCFcKfz/t7BVhSylkPdxQnt24X/e97eV8js7RluEnb6fxj1U992FMErCtSxywqWypxCO8wpiD8/ySp1CWuUWdq4+RlW4rnqiCLsA4T5OsJDPJoRd2P+rCu0svZAmEA6V8SdZOFZrJevQ/bX1fAbmFkIe4byj44RL0grhHKE+y2/D3yqXcBt5Fi4v6qsItb2z/8sqnNJjheOHdnznJFtOvRYltIcTDucI3cvGKqSewkYQErsQUgg/68zC99oa/YR840n49GsTIgzPJHzcTTiUeYWQW9ijurPsZazQPJAoLBIKG6+ZQgqn8+DewilitcksPLrHCedC2iIf7TQhXzw/pUJamI/0E4V8JCF7C4HWccIOKbSkyyVc0mrdfwkdwpGghaiYF4pGaHhmSVgkFvaV6Sf1kDXcywnfmx8n9DieaYV/nO8oNAYtJD+lkCx/xXTnCClmL7NSIxw/IDCewhohnJNAuM460RWVOwmH84SfYcLpkAgUjhVOuHQ/VncTHtm6P0fY64W9W9j4C2EXBiajcK5X9xaSYJUhVuGSRjlUHMIhfO5ChXCOkCpXppfNC1/Bz9mowv+xVy9HsttWGID7FlWCFy7Ty7typ+AAXGIqCsERuLuFxBqZIAQuuWDxmG/idfAGmzPSXyXNnSEJfASBc7IJhyAhNneUkBv+oHSLfMLjyeksX1u4hEri7yMEveOCLNSLilrduE0oVFm6/8grBLcQuY/FCO3JLIRiwq4pI5Sh31QIfsI8qaKf7O9/CdOFrrOs3X5JYfV5oaNkBQt74it0jLhc9hOyJKE577GU1G7h8A8v4cshPNppEeGvnkJLzhZ2d6Owa7ChhtsspJ7C5aNpQuUxdgi1ATvtc0YJUehywyZs75hwGdtHSF4lhGz9jG1tFU5n2S18MpOQH8JlEqo8ZhducQv1pRGF06zkCQlC/sgvFCMI1XDTvbKQhQiR5BTqMQvlApxDCJmFclpHq/ISMrclXujKeJa39HXaUIjQkCD0ImRRwjZ2dVbh4DWht9DAOUE43vJ5IUkTHq+ZINTWKlZoHzxa2DXYx9mF+ECL8BUr9EseIbiF0cGFS4jj7b+50OvLu4QQIXQ3XBYgTM2XEMKFhF1zspAWEPImQOjM54QQLDRMbRRKnP6OCPNFEN5jhPX1hPCOEGZoK9HC2yYUiv73Ekon1VF5fIRsNdmFevII5RBUeP8iwg369hLiKS9ku/B+USFswvCMnqHOKWTrf5BVCNExC+FCQlWk/37kjwRhT0oI+eMLCEkG4ZhcwuWIsf2k5RMCPDMK4csIX5ow8izDMI5ySxACLgT4tY4Sdo0mrM3dgSYJp8GzCSFY6Ow8qJCcLRS7xknC/t7dMwghm3B7X0HIPy00xyQEf+HxO9rlU4VgErJQYV91LmFQGCZcpiX7Ddx1ck8Vjh5N+P6U8F2fJhy/QmbhUKlCrwaDCt+ikKcJJ8kmBF1o3hnvQsIBE46Xfijjb8KnQ4gthiLsPCpaiJB/SmiMSXj83SFEc4YQ8gkhTbjm1mQVglIPMwjbICGECjOkRV+SX0eILCMq7O1fLrOQXla47eBLCI3HaWtatHcLeVbh2BXah6eQ2oVwFWFl5y1CdcwCQooI4cNCahaOn2kXvm+Ob2wQdk1WYWUUTntp/ht7KtMx07ChwoGgq86lC7PwWE1BOP+ocwmpJqxcxy9A2PkI5RQRCuGb8JdMQp4gBJuQ/LJW7WChNqCXEN2ZVB9wCSIMD5cr1ir8rfYVwgnCuyoEAgMudFl3IZn+3//9XkIIKULAhTxIRjVhe88qXJIgfO1jeAlNVi/hL4WEloQKq2AhSxSGZSDUU9jvn+2DQkgULiPeggYrKUQejBF2lh451KFC5miM+YUQLIRo4TtC6F9hDuFArikcLi/cEiiUyvM7bCrqEMpFRDRcS2hwxgshRghOoXWTFBU+m3ihRX1FIbMJkXAfuN/XKyR85xOa77uWUAnPLkTLWooQgJwgjMxXFEKEcBll+YyycKixZ/QCXtmFSGvxEy5p/YTrnyxCU/HKIzQswsoRoXFCsAl9D+EXFI4PniZsTUi1SYcJLTEJGXZziHAwCHEVdTnzCXeoVahtFbuQ2oXCG69n2SSkK43v1wKEXWMXaoeO9XWw8CUIn9bpcCF6CIOFprzWn8WENFiodNySwqEi6l4sLBQtIi238F9SzXgKxcYtPEKN7jCheCsubOOEUl1HhbUuvJtu7O+a8HDlEOojCUJAhcdH9hZCZqFB5SOcT2SYcF0J8WMaHssqvAujEbfwlkU4//ASjlMJwoEYnnAIaWva77JQOLSiUMwxH1F7Sie+SLqQmxZvFZJIYZUo5EFCeSnXMHHIZCFXLtJ3sLDKLaTajOlCOXahARAkrNxCvv5UhF1tFIKn0HqDRWgKV353C2vHiNXZwjUb0S38IePsi4wJK1y4DtjVYtkvKOTBQsgtdARpcJXzwdOEUpY9T7yEI+nfj4xCY6GLEQrHTBHud9yQR4l15TAhk55g8khS1u0gFoI2UghlhPwvoZcQwoTmFBYqFcQ9wqAWHUE4rvHLhpKeFD8IESZkykPt8RBFhb1Q5XuSSShmFj7NV9tmnn76nzD4a5lu+8Kdh3BaEl3IMGGlC2+N9qdDSPtaEq6r0p8pHIoKxzEyCfeDWUaokbRtbxZym7BDhRVDhNP/35gQooRgES6hm8UtXOIrhGihI69FuJ/lxi1MiVWI16/q+EKnCOH5QFcrXZgYbrto6QHMc/x0IUQKrSHXEtJ04UByaKk2+TWFg7+Q+wgrfVT06A/VPuonhEfdP0UI4cK2oBAihW2zC6ff0oWQQyhUd+4lFNuBnzA4DiGIQr07HX9qH6OwNbe+HMKXSzjc3EIgBYXPLELIIOQBQvk2Il/dHskufDuEaDDhnvZBThUO9fFvyjehlKf6QbJ0xq8sZHKd04R6ZqH4WcsK4TJCyCdknxV6ZC7yRUp0lJAlC7va5y7hO+yfUe7LBsSct+3iFxDyLywkHsLuXkjIrivUq0oR4UE1Cy0HO7vwn/aCIAhFlfjvuaQQedb+TvZLlqz3jrfhr3ymEFnLWTimQghtYWHXXFV4a5ZL/Awh1VXaCMr5UIXzs+/jDVxCEiWEoHfsvIVbKkFH7FN6C21vt+0/fyFgwnc54fTfsvlmIXMI+TIcGR8h4tiRwpdDKK6jW/gjTQjpQkcGVQinCtnxB+IjXDZG+99HBuFyBwkQDnWEEHyElbYMPsIlwcIl1g9ELUKt8kcKpT26COVIQnVH/9mE0s2zsK/VOeVRe20vpAlrB0p/A12oXCd2YX+XhLVdyJzL5iNsmzAhaELILpTDHULleasQzEK8NsxCmlPIvIS7iJmm0IQv+2vy3z8kXFYuXOg4fPLGwrqeICQOIQQLHfl2QsgifIhFggdocaEQMr3UWtC6u1noyGgaSgvXyMKgiRQhv+cTQrRQ7BSasP6k8OUhfF9ZCE6hWDADhT0ilDu/SQhKH7EK+1ChO61LqLWR04R8qZtmoZAcwta37EvfThDSIKG12qQK7y4hXFH4CBXqQVqNKnzHCad498BEYR0s3PZlQeFSS7so4fh5hd8H30axj9UECJe8Q+eA7yZsj32rCIl+9RAKA3sLK7OwdzTuDMLmw0JtgElIBWEXLpRSRhi+wbMJhWQULu8dKXQmQfj2EsZLrEKvPGWhnrAv4b3Ynxa6H/qOQo4OtU/G0EEqRUizCPkjm3BQz1dW4dslPPIh4ZyqrBDry/7CaQa+DUpzCOVf2/EQ3ppUIWQQEuR6DmFfewjt6YlF2DWL8JjUv9pkE3YW4X9+rsK3t5D4CactTjyFbVVaaFrAaQNFC4UT3P9cd2GUcN7/eYRQRvianooQ8hDh0q1ThFsKCY+HRCGzG+d0dw/h8MNL2KmvYhIe8RXWitB40yJUW60q7JFW/PqMcPzFo5FnEjKbcNriiBBOE0ImYdeECsFXaMvHhc7MwipaaOnxo5BkE/qN5BTKNwy3obINh9Yqg6YPFY5Vdh3/JGFwVOFK+9MKeaCOSEL4WkI5o5B4q2yJFEpBhPrfdCF/lBE2HjcmCvs6Ragm+xqO/aJ3dcOgRAhZmpDnEuJN8bLCvd0nCfu6gJAhQnMG+yYMFxpnPVvY/7w7cfmEjsw7QH2L3MLokLxC5QbvDKaqKwjvBYRh6SurcBl/EtIIYb/dV1I4XR7q8WPTmMFvj3OE83ZMFLb3AkLwEbZqH6CBwt51oqOEbXOOcG6DPfEUQoRw67Tt/4KE+5jmRq3E+AKbcDyrRYSNU+g6FXZhr2GShF2TJjTNaRJOP4y9ZHAKf6sjhI98QoN4FfJlnl1IdaG7EHgK14odLJwjCbe18RAOe9d2Csc5w4RrbELwFPqtrKeQnCc0rArel1/7XRUiHB9+OITGbxkn1I/gD1y4R2CN/9RuICu0lctSRiGThIbICxcvbLEG4BK+yghd4yjIawqFdiUJpX29C0H9KByZsKwQNCEVjnOkEKvLKUJ5kkBhxvgKWSnhD/UPJFIIJYU0RmjcSvpKxgmJRWiq4dvetAi7uy4k8UKhZrHSwrhkEorxFKp/woqfKKSqsHYI32cL1WtO4dMqhHzCdUikipljEW79YCeYdou/EHvpBKFGOF84fekU4bJTQo63VcjNwj+8hRwRQnEhPVPYRArBT2h6Pij2M6xNMNSeQvAXHotsPFXBwun/wULrh1pYdLy1DxeCWTgUEFYBQpJRCGWE1C00XuyVsjCVYZIshDDh6hSE72sIlQOYV7ikgu0L+Qi1U58mDNy05wjnB8xCV/XopYVEVh8Vrp8BEWKvNAmHyiJ84cL2QsKXv7CvB+xMGYTwESE6cZwQLiF07f8A4T1FuE2XIsTyct2QS6gWRe8ECmkOodgifBvaEZpyOU3o2dtShegNnsJ9K2mn/jJCYhRyicAfeYToKS0rZC4hcQvFBAqXqzYhPJ3CfWgvoXo8FiFBhEO4UJ5gOsuBQvOaaiXoEE77uYSwa4KcWJFchdYECKlDaJmrqNBcyCThu6gQ7MLx+RxCPDS6vx9CY/IJU3yysMe77JWEzCacop0gmlOoFltVyE8VmqqFSXj82yxkspDM44qD+64RLyKkGjlBWCcL59csJWwfFuHREz2E4BKir59FqEcWwqlCYWWShGASmsOswt5DSDIIxTnDhMtPo3MSzlUvXAjZhNsZCBHOM1xDOF8wCH9/fF5IyggJIgQPYacLl4GO7rsXxVShIcwhHIuUUqeI6VVX4XALFL7ThPMCBgnHLlxUSDMIl5X8rBBihfPFShPaGsrk8xAagh25EkKIEmJxCKkmZFWKkC3vGJ4AIYQJIV7ISwinzX2qcKgN28glhDAhTRIan6+0KedTSNzC8YTMwmnvt42/cOqEUV1PFTIP4fzI5YXgKYRcQvppIfERjmMQ+yFGhZBXaOoGqxDcwoBmojfpaGF/p+tbjkJXsZEf7xp2ivBntQnXbagNjj3exgmZQ7haBOH900K4sFDFGP+4CNfpXUIZahNqSRKupO6OvD4uhDOEI4w3ktCdLoQWLDTkZCGowu0s92it+5xwiVPIDiEJn9kW6itkqHA+u5sQnD3cnMoipHmEx+G1C8nHhE6D7epzFL6NO5NPwr3Tj0KKjozXVQ+hUBBShVWs0J4UISBCjs5GiwgpLuyqVKFH3EJYhWqDmIQNIsQqql1YuYTGsH1NThF6fHU8hncRIGK14cPfLi4EQRgyZQGhiMKElc/YCyxV6JjjJryDME+IENxC17ExhGYXMrcwaKUzCwFrQC+bkAYLxbkXYfvwFr6bc4VrlWyR8sPOFQr5f3t1c+U4CsQBvGd04OiJYLyZeEPqAOat7SUxKxNC0FEHPddasi0DKooqQB/u7f+bw7Q+4CcMVUKhnbBwbHoiIcSEEBV68zVvKbwTVGh0vvA8BbR7qTBMUBxIqpB89esIYS0hI8WEJ4awnexIQ92cWwiFhEgEj1pCg0wKcmHH2RnDo7cn600Ia0J43oTwnCDsdpgQGMJp5hKqYkI3uoywcoTGF3YZRZAWep6A8KafVzhJUBiI2TOFjHbGE0KC0GnjGxUCJjwLhN3vhA9IFIIvfF7LFiZuaIO9JhP2dzjCdjej8GLfrVjC5lhI2BykwitD2O7LCdEEhVcVEHqboICwxZbOE4Iv7HZhoTf8DEJnGpkQGx4TdnnCjhRCCaH7uTMK7QZECMMpLLSX4iHMzQUrRdFoTNg3gYSx3Jg5hf3h247Q+Ysj5HZZg11hCU0tFjooplAb7Go/akypmcLgsmUJn0qBEGYTwtrCNgKlhLSRENZjPdRi4WTSDGH41iBUkYeeo8SEwBE2B/Zb+cJ/drxJKvtzmkO9hHD42Zs/P9KFjJ56f6W0sEKF9n6QCmEUglgIHVP48ZkrlKbbMYTtARf2vxspfO2HfGHTC81xIhxwlvD0OT31cwsfQzCFzSe/LiFFLF+oo0IJsKywH8scz+C1IF8os6ULtUwoT/cLX+sEoRNfaEQ/qVSovqQQYHmhEgohLLR3vbNVqTGuu0ThJPhzX1k4inbu+KWFTrKEFSKENxFCirBJPsJWaucvsZDuFKsIvZ/FF7pHLiL0z+dawvBWSxHCtzBBCHlC/yoy6eOeWUr4Wp9x9RTmfh2SwsIzLjQiYT9zc/TmN+nrtbJQWjOzhCZFaChhuy8ldJ6qe9vJE172lPCMXM8WQmDQm7C72TRIhKcEoZYJB84ovI3rvl9QCLgQvogQUoRDQsJuQSEeYwtb6iMuxyzhVV2V7Is84TkqPB18IZQUdqH25pzAeYWwtPDfDQvb4X8/84U1Kmy9pXCEh7mEymsfqUIymUIsQqHxqsnCwleShfd62FfagkKDqGhhtP2/egy/2tzeCRzj5i+hsCKFQ8UtILQa6YaEUFYYeKSIsI4KTZZQ238mCLu9J0RmMlQ9rCYfZIt+pgptax3pXJHDmi+sZxYaUlhBzRSauYV4JMJQ8R+24FRYkWSREGihjgmH/J+E1517VzGEwBBOU8keDwr925sUqq0LrxHh0uEJnWubFVKdlJXG2hYdXtAjp2IzwpgzUaiWE8KMwnFuuTA0vXWWlxH2N1yhDkxfT4R4xu4mEwbTC5uPmLAfZwYhcM5q9+sIzd9lhPcn2h/IImxKaEJCwxAi4NLC9nAhheSC4kva+MLIi6sI4QL8yISnAkJpPKGKC5/hCakiawTC8VuVdm9nCuk2EBOq4V9EeB9mnObE+mq2sC4ivE9jjm8iPK8pvA8VERaOQBj52IWE6OqQQusSLazLgDU6OSVsDmlrUUa4/xaSwTd9RIiEJ6yLCWGbQkUL28MoTN5LKS8GhLey3HhFQygcV34WYbfPFzZ7uCqGsJlWTxMa0xZ2ESG6QnEhLC6s+u2wnBBooXWWw8LXpplLWD+Fe0oIqwt7I3KTEGpMyAoiBI4QjUjYMoUQ3spZwke0/5+W2565wslNoXBKJaOFQjXcVIKPfWchbFMo2+KD8IJc7YJn6i2EYPe6yXDFhUAJL4p0MoXuUb/u6OKiywghR9iQwmp14a1l3YU1W0ikpPDVSpOFSDfOE95/iIJCc2QquG30KQRDC83mhI8EhLAd4WviM2ugsHByPU1ILE228FBe2O1ShMFPZILCQkCFF4lQc4WT6kN1Wa4QFhB6v7vDLiAEtFtTQutY2kIlECq826YJ7TKxTaGduFCzhMARtilHdCK0x4oJ7cucht+mFhFL6I7xEGqB0GQJL9KvHIVOcCGsIoQlhM0BFRr2GNPimi5EM6sQyezCaaZNnhRCulCnfWrz51s4htllal/o1/I3FZqSwqtKElqFxRHeD3+KMOhYW1iXFo6vbUYIMaHhCJFms7jw+Tcu7HKEuTHt7w96lZjCcFRZIUrtSP8QnSesucKr2p4QfGH1PkKE6nakupTwdjzjwkcs4XU5YUMLnXp4q106TShPbQthKWG3D81SmTJC+7JYeNtOBYRIMUkWwizCTvGF0n02FVY8oRO+EBRTOBZLoRCyhWQnCgi9VIFXtimEtYVn7LEUIdg1q6aFkC3UGcKhbpQR3nNOw3wV4X/JJ6yEB2uorAAAAABJRU5ErkJggg==

Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAA0ElEQVR4AezBgQAAAADDoPtTfyDVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGcPDmQAAAAABvlbf/eoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYLUHxwIAAAAAg/ytp7GjAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAuwB3qgABrzap1gAAAABJRU5ErkJggg==

Mask used (BASE64 PNG encoded)

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

Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAA0ElEQVR4AezBgQAAAADDoPtTfyDVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGcPDmQAAAAABvlbf/eoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYLUHxwIAAAAAg/ytp7GjAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAuwB3qgABrzap1gAAAABJRU5ErkJggg==

Mask used (BASE64 PNG encoded)

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

--- Deconvolution
Parameter [Image Type] set to [Deep Space]
Parameter [Secondary PSF] set to [Off (Primary Only)]
Parameter [Primary PSF] set to [Gaussian (Fast)]
Parameter [Tracking Propagation] set to [Post-decon (Fast)]
Parameter [Primary Radius] set to [1.5 pixels]
Parameter [Iterations] set to [6]
Parameter [Regularization] set to [1.00 (optimal noise and detail)]
Parameter [Mask Fuzz] set to [8.0 pixels]
Parameter [Enhanced Deringing] set to [50 %]
Parameter [Bright Response] set to [Full]
Mask used (BASE64 PNG encoded)

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

Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAkqElEQVR4AezVS5KsuNUH8Kym4+obfNFMPTK9DI86vRQvwcMeOExlsDHYiZbAkAGh4+Stt45eQNXtf8S9lUki6YeQjh6gC633j4yAMdxtHhme/Lde+AYgD8ceomAsuaG7n09Ikwg7Ufg6fqcewiZYCDhhfwjl/m8iXOIUmmMT+oVJe5nxQsALaVYhK/krdxd2shAZ37GnMccqTAgnCJt0QhX8Si50FNUgoX2ibSU+UGghWYQvpFDch/FCiBQSpHBKsLBZDpS5n0xCIZyw12AdQn30wuZGQrAKwVPIJY9weMpCuIkQtEJvVJDQr9eUQl0c1cZHCIJQc9mcNomwySbs67zCPZ0q7O3FOJ2wsQn3yerUy6cKxyKnsLhAuI6NE9I4ISOzsBJ7faYTvhMnHMOFfLqkQu4wn4RgE2KTXShlFb4SCZtswo9EQkAJudPULRzihNKaMeY9jEH459MhXLMLW7+JCRP+Uu6rof8TuREwQka0QhollM/9ZdUNKvv+wuZUYQH+Qsgk5NoYhNIkuYXgJ3zHLixk4VRetHX9EHbBwjKgjVYILmF42gzCvuaFUxxC6wTnEFISIuTWlvBuvYTUTwh+wqMbYX94CdupE2UvKxuLWo46lPCHIKx8hSALAS80LDirkOKFrAwSEpHSmLo3CccMQjEXCJs8Qi4/yvOEJEgYmq1KoYTrk0tCvvV9hBljWgD3F8KFQpJcKPY9lsG0tRblFg5XC5kN4CdUjket0JmkQnHs/ixhm1oofIoTDpVJqJ9p5hDqrJHCUhJOmVe2LFyWu1O474oYIR+tUHmOeejy9sLHU3MVvrqQphKqad+WVhX2uolptMKFGS80pV3/WYQvrVDMIhzMOz6lcN4V30PICkX4u9B1nVCo7AtfIWiFSreSUFzLQhpJONrO15fwjTiF2+W27lMIp9BUwvllM3+hpqTKa94qhC8rBD8h8REORRKhPruQgk7Irz2LsAoXAkK4jSicTKJQGFEQdlqh1yS5UnCVkJsxUThcKeRr9YASCrlOCF9FuP1gF1ojNbXU/auEECGk6x+DcPhjFyasHpuQlXih6fmGvz+SuaKExvd0Z+ErvVB5X99ECFcKPaIV9tNqYTcRQjIhM9akobqvsEsh7J/yFZJSONn0Bzcrkdul//0OQppTODwvEC49SMLGJSzF77Nw4Hvv62uF2u+xQir3IfSQRPjk3jEv7Ou38FFjhMaYhKO0qpzCklcJWnFSMUKhBVZonVNJOM6fWz8h32ESoSLmqp4k/NQJBYRROF00VRudkK808hEQJZz27UXCOZmEutiE/BNJwhf4Co/nxgg7nFDVegr3QcpQYecrhGzCJrWwccyBGEE4X/AQqhPxxAghk3C7M0BoT5NaCFHCtvYVqmRJSE1CCBJ+ZhDWPkJi/KnJKASbsMEKC62wTSm0Ts3WGC1cV3H7roOnCw2rwSwEb2H5xYSO+Aq3w9kpNJcFT6EUpxDOElLzT29hh34iqZ+h8hYOz3XQTEJpBpFC3iAJ9w6pddxbC+eKmEJoDid8359d+O86k1CThcV+rQSh4zS3CscSLTw6tAjbQwho4dyjqVeU0JnjEU4XQpgQxjOF4wnCTekpHIy1SBl0u5WVrZviKWRmYa+dvM4uhLPCHmOlF36uN/wo8c97sZDeWLgcmm19sZD4CJVu8okn4VwIR5Pwfd0spC6heqIzeSCncP0wGBqeKCRhQri/cI8sHKqx8hbSRbgeRWKzaKE82FDuQuGYoJcJQSMElxDuJizcwjlaoRwy94sVvuKETDqYnMLpF0noiFa4f8QLsUki3GeQG78w3HuNUDf+WcJerc0IYWO51yjsrF2ahU/lUuMWFqinQQq5zpFCiBI20MqXxvIQWsdLIlyyC9X5buDzFGGHFIq2hML9RbDHeULwEm5tTBtvFVJhoVm3UGohwQnb2lsIgnDGTf+hqqQobDHCz104jdLoqidCaBvIT0i58YdKJ6S6d2RjBwvp7YWMSHW1wQghsVC5JtZDpBDihLq0KYXtlULACLnGZQgGK+yQwjRp8ggTBilk26EhCIm5mfxWA0OTColBODxRxcshnJds9zWFoArBKCQZhKvr6wu1anEvD6KQeApH89bSCQtf4dszPIWl6C9kptKgm7mkQlzGajxDyJV1vLCY36BeaDwWfwoheArfxlko9mAUgq9w7u35cwnnVwL9f8vEwpCsx9p6KtxRKPUqCI+XMgT0nkX4FjX5hMW3FfJH8i6UMws9X5MsNHRtD52FjSzswoXdOcIXyKfSbYRrVOEcQcgvDqQwBJlIyJ0UgUKmGW4XAnwihULSCafWzD4cTSgEjLBwC8VFpBWasmlihB8W4VBhhIAQuq5dJHy3UzTG5aATgkF4RCuU0tf6z4pw6SVaKMYqXH/ki4pUpM8TGiavtAkn2vpkjwIj/GEUFhaELjRC2AUJIUBIcMI1ghDOElKn8FFLQhCOEK7RcuOPR2cfWF+kNlUtC9t6Ex4RKndS4bxcTMKXWShso/em4oUdJ/yl2GqvTcjSC0erkKuN0wnQGEdPL4RNuFtcwil5hPP1QyjMmVsoxiLcZtqyl02H2iG03XYIm1sJh6dksZ7dmDB8PewMclFYmWYLE93jGIUdXrgeWPPKHqKmLJVQ7tZXKFcAUSgrEwjhHsL3Dri/kPtjFmJCrTfqhc6q1NmEvsEKl8HuJzziFlKd0HROu8K167MI90YJhNioQnmN0uN5u5iREO0KD2GjFcIVwrUhV21OEXYphaAT+kU9aJMI+6dJ6O1NLJwjCcUEC0lCIVwihBsJIYtwvxC8bxILzeQMQppWKGZElMbGdcNXFErdnipk5MsJabBweCLcaYSQU+idS4U9pgVOKDdKJax8W1wj1BfmF8QEtZfNg6OEHzcWLu9iF0rrsDtTSC8SFsfHD5fwmVU4VNFC/eVThRAuhPxC6iUcD0cjDVZihF0W4Zq+FoUFqpV0IvkI4TbC0S18XSt0hSIHmoSsPFnoml6scB2W6YtWb3kUPyGtnUhWLgriI5Q3fWbh8lei3F7IPn5ioRiEcAvRupn9eI8Q0kTCgCCFrZaGnxFF2CQSklRCJfcSdgmFnV7IyL2FxdcQQkS6mMYOIWxCuEbYP88RQkKhNo+SkebmQp+F7ROSSDgkFLbJhJ2vEHnwxgn51q+8wvVu1AbkhJ8WIaQW0horbN3CMZVwrCQh7qEelUuIClIIaOHeoV44fsBQ+SKTCtlvDiHJKwQIErb3FLKHLPk4RagxkYxCql7qvR/wLeQeQS8cnhcK2W9EP8n8qXcIkfU3pXA0Cw/N8Jxu+bD109dJhZ2vsJhueV0kLA1bSRUCXtiaS0aQUBteCE06IS7nCmmQcK+Cxs3J72Vo5F9HoYoqSSk0xiQkpwjBVwiK8KGutKVq5hc2KYQ0Wjj8gRMWgcL4DH8YNsjLKNyO412obO+0QlNnbiFECBs/obbDXUjsQjCcRGcIQRJuBfNk4aZ0CWHf9ezhJ+xyCcEkHHeh8ZwU7BcI9/I0ljRUCCmFIAi7S4SOIITySty+5xI2euEcpLDUX081Zx9WIX+Q31Ooi0mYKVYh+An7LNQAoSK+vXBPpFCzjmkKIa3/EiYQvtaPg0vY18ol7ogzCOVkFLKSFxJvYRMvBPvJ7RJKEtN1b2F/e+E74cJOEK6v+Uoh/20V8rlcqIlOSBp7m5gzRRQSBPh0ISQRwvnCl2c7Ne1PJORrR6gQThMeQQvpzYXDM1LYBAu7Wwn1RuW+yk8IyYSmWcwhpNHCsfQWws2FyMjC1rP9txE+bV/zCt/pa6fQDsYJIVroEfGwjBNiRj9ZuO/pzjz6UI1VLuHRGSs5oe7Vegpb4itc9/cZwjnfTLj2orvqK3wZ+s4o/LPCCsEmVK+lEqqXI4X0JCH4CQEaRejI7F+WtqM6fTshoISNbcClOD+ecULdENtWChIee30TVlcJwSQkoUIVcgiJIhz1283gbVzCsMQKp9sQwiFK2NeRwtXgI1wvo4WdRrgMFChUOkskVDZHhNCe4R9BQs327Z8eQrin8Bg0sZCRQ7gXqiihKyPfuW0ZdkmEnkV3RhGk8FMnNCaX0JZ7Cl/BQk2oJLSe3xHCY4C0wi5KSK1C6iPkOyhNkxEhHMkVwhIpBJfQta5kIUUKvZ4+Sqj0+jxN+HQJ9WU2pRCswtZTuG1nnZBeKJzqKK2nP3ohJBJWFqE5gpA9FiF77O22WkiwwuIiIbtOOKX/tZSEx6K4Vrit3P7XB9B/TsJVtv0teCFcKfz/t7BVhSylkPdxQnt24X/e97eV8js7RluEnb6fxj1U992FMErCtSxywqWypxCO8wpiD8/ySp1CWuUWdq4+RlW4rnqiCLsA4T5OsJDPJoRd2P+rCu0svZAmEA6V8SdZOFZrJevQ/bX1fAbmFkIe4byj44RL0grhHKE+y2/D3yqXcBt5Fi4v6qsItb2z/8sqnNJjheOHdnznJFtOvRYltIcTDucI3cvGKqSewkYQErsQUgg/68zC99oa/YR840n49GsTIgzPJHzcTTiUeYWQW9ijurPsZazQPJAoLBIKG6+ZQgqn8+DewilitcksPLrHCedC2iIf7TQhXzw/pUJamI/0E4V8JCF7C4HWccIOKbSkyyVc0mrdfwkdwpGghaiYF4pGaHhmSVgkFvaV6Sf1kDXcywnfmx8n9DieaYV/nO8oNAYtJD+lkCx/xXTnCClmL7NSIxw/IDCewhohnJNAuM460RWVOwmH84SfYcLpkAgUjhVOuHQ/VncTHtm6P0fY64W9W9j4C2EXBiajcK5X9xaSYJUhVuGSRjlUHMIhfO5ChXCOkCpXppfNC1/Bz9mowv+xVy/JktpYH8C5wReWR+Yb1qjZQi+gw/RSvAQPe9SZaW0MdqIlMGRAcBqSl946epFUuf4RVffeTJB+COmcZMLJS2iaO0jINB9I3SKd8LxzOcv3Fq6hgvjHEYLacUEUqkVFrm7MJuSqLD1+pBWCW2i4rgsR2pNYCNmEQ5NHKEJ/UCHghGlSBt851j+F8ULXWVYuv6Ww/LzQUbK8hSPBCh0jrl/jhF2UUJ92LiWVWzj9hhK+HMKznWYR/oIUWnK1cKi1wqExDTUVbyFFCteXpgil27pTqAw4KK8zSGiErhfswr42CdexMULyyiHsttfYV1bhcpbdwmenE7JTuE5Cpdvswj1uobo0vHCZlTwhQsge6YV8OKEcprtWFHY+QkNSCtXohWIBTiGExEIxvaNVoYSd2xIudGU+y3vGKm4og1ATL/Qq7IKEfejqbMIJNSFaqOFcIJwv+byQxAnPx4wQKmsVKrQPHiwcGtPLOYTmgVbhK1SISxohuIXBMQvXEMfT/+BC1Jt3CSFA6G64nYcwNt+FEG4kHJqLhTSDkDUeQmc+JwRvoWZqrVDgjLVBmC6csA4RVvcTQhsgTNBWgoXFLuSK/o8lFE6qo/JghN1msgvVpBGKIUZh/Z0Id2iLEpqTX9gdwvqmQtiF/pk9U5VS2G3/IKkQgqMXwo2Eskj9+8xfEcKR5BCyx3cgJAmEcxThs2hChOsR646Tlk44k4SRhqLwIMpCuED4LHyIJuFLEQaeZZjmUYpzpLH4zwIsvvxHUoQAv1RBwqFRhNVR2VixZZmHRgmXwZMJ4RDuwKK2C52dxygkccLhEFZIId81rhAeL7koI4WQTLg/73pjewi/PijURxYW9o0mC8+/jV0+VrjmeQqXmTtf4VgOLqFXVMAJnI8KOS5grpN7mXAyCNtPCdvKIiRJhfNbSCIcLUJUgzEKW17IwoWDJARVqD88bSbhJI/Wc8JSHH8XPh1C02JIwqFOK2SfEio5m97aVPighMZcIYR0QggXck2vKJIKQaqHSYQPDyH4CkODEPrUigzCJy9s+sZPONY/hZKw/rhQc5wKLyFLKpy7Qv9II4TbCCu77y3sTQc+nZCKY9xGSPXCURASb+HQJBWWnsJON6yvcCLGVWfCF2/huZp6YRkvpIqwdB2/1EIxWYT8MqcWsggh6IVDpFAZECU07kzqKfQPG0uN8PcKK4QLhLUsBAKTWeiyMugF4VcOIcQIwSxkXjKqCPs6kZClEb72X3BCnfWjQkvcwjZS2EUK3XkGCcfqBkKIFL6DEo7mXbpEABZFqJDqrwsRSn10ihN2jsZ4ByEEC1uccIwVTiSzcAgTTrcX7vEUCuW5xU3RI4ViEeENuYXMS6hxhguRaT2F0iZxJYHwmUBoUScQFqmFnU1oCLPAJ6xwd2YRtumE+jeaVTj6CqWw5EK5XAwphAAkn7C/vZAlF0KAcB1l3SyicKqeBiFVRintQkNrmTweudcJf5OBX1PlEuqKVxqhZhGmXxMJwSbENkqtsLi1cL7xMmGvQ8pNGicsN6ElOmFnuthHOGmESr0u9pWgLmc64QHVCftAIbULufewnWWdkG40dnynESr1uljHHhq7UDl03Vh5C1+c8GmaSanXRc0LjYfQW6jLa/tpFSrAokELqbdQ6rgY4RQonEoi78VMwlEj5Gmphf8QKtmTKzYmoXqUiwc/cahQeE1GYY8Qqke5+LPECCtVWOsuHGtFeLowwtYhVEfihGAUni8ZLYTEQo0KI5y/GBo/oQos/nzkFdbcaOQq4fsHSjjvbE44Ec0dbqFGIwq5Q8sL+ZzzEbmnDPyDxAuZbvE2IQkUlpcKxaXc0q2S5jbCMrWQZhCKsQslQA4h235KwqHSCgEpNF0w4c6yVghoYeUYsfQUQqxwy050C79EnEv45XpMWbgNOFTHqt1NCKmFQkZVWLqEcCfhuucJSjiT/vlIKNzKyBAt5OqYJDyuMJ09Yl45l5CqQjX9QxbuH3kLwSLsw4Xsp3AdjNmF4CfUJ7mQCEKpgqgjKB656HDCeY1fNpRw5/ZCWq2Qv+68iRqFY31+PJJEwi0I4Xv65T9u8Nc63f6GB4RwWRJV2JmER3VTgWt5JaKQjpUg3FZlzC8cLxLOYwQKNcWmqPMJFZL8JyhCzVEuHoJwMArLziBc/m9NQvAUPjVCEIRr6G5xC9dgheAQThrgF+b+1yo8znLjFoZlKFzFxlK/yvMN5RMy01FOLQzO03SUMULzLpcSIdRtw6JBC60hSYS6bSiPhhLSeOFEdJ8yz6NMlclzC3XbsHQKJ7yQYYSlOupx9HVCwj4mPOv+IdRtwyqREPyFPU5YhwghUNg3h3D5SxHqiw1zTRsp5Ko7CxKCU+gdhxB4odidRkQ5TCd8uYRTgRJ+ZRM+A4RDFiHzEIqXEfHb+ZbBs2Dj0jqE5qVWhf1HhVN1/k7ZLhSiFZJbCdm1wo7rFTqhGq2wyiaE2wghnbD7rBCR172EnUbYegkHFJ47acdrnCytdO+Fuv37U5hJ2FbGGc3Coc4k7FThV38P4T5Ki+jKEcKTqhdaDrZZSMKE//8AWzghr+J/7x/CXO/fxpqghWM9j2B+5HzCp3pS9FO8hXNKA6H/2wo11TCfkKoqZQRpj1mEBCMkQULwesZBBf5bL9xTcjpinxIttD2dvxBMwvYyYecQsnU4wpaLuLEDhS+HEJ4+wq84IaQRfllmkYXwKSHBCGEV/vlIIFyvIB7CqQoQAkZ41iqCFbbBwjXWF0QtQqXyo4WlIBwaRShGEApX/32ETBYu163CsZLnFEcdlb0QJ6w8hKdAnlMQErtwrAVhZRd2pml6WVhZhH3jJwRFCP7C0S6UFtwhlIa2CkEv1NQGWVinEnYo4SHqdFO88zQKlbA/PiKUj0qDFk729yZuLFPX44TEIFyPShkgdCSZcD0q/3cIHx8SglEoHxWb8MEXCeahNQu5kOWhtoI28HtYOiqWIWbTlFu4JVAIqpDV6YSAE36p9/GdQhFWFwhbQ1uGF0LYXiFkhqbnEoJTyBdMT6FQ7XtTS9EJQeojVuHoKzRkMBUbjVBpIx8QgirkkkLYY8v+sTIjDyyBegmt1SZWWOuEhBPCXYSTeJT9hGoMrUYWtqHCxi5EBCus8EIQO0pG4VpLB38hV7LXLTJhG8UxVuMhXNP6zHEelW2I2wknueO5hf3DJCTqt6eQGxgtfD/WU+onUzXaikgaYeMhnM5jkkyoDLAIKSccfITQii95Th6h/wYHcfNCsJBLQuH63IFCZyKELUoYLrEKUXmKQjV+bwK92J8Wum/6EYXMONQxWWccpJSENImQPZIJJ/l8JRW2LuGZDwnfKfMKTX0ZL1xmYPugNIVQ/LOfD2HRxAohgZAYvk8hHCuE0J6RWIRDswrPSfHVJplwsAj/9W0TtmghwQmXLU6Qwr7MLdQt4LKBgoXcCR6/bbswSPje/2mEkEf4Wu4KEDIf4dqtY4R7MgnPm3hhZze+M9QI4fSFEg7yo+iEZ7DCShJqL1qFcquVhaOhFb8+I5z/QDTyRMLOJly2uEEIlwkhkXBofIWAFdrycaEzb2EZLLT0+FlIkglxIzmF4gVTMZW24Yy1SqMZfYVzld3Gv0joHVm40f62QuapI4IQvi+hmFlI0CpbAoVCDEL1M1XIHnmEDeLCSOFYxQjlJF/DuV+Mrm7olQBhFydkqYTmpnhb4dHuo4RjlUHYGYT6TPZN6C/Uznq1cPxWO3HphI68d4D8FKmFwSFphdIF6Ey6qssJ6wxCv4ylVbiOvwhpgHDcr8spXL6eqvll05DBi8c1wvd2jBT2dQYhYIS93Aeop3B0neggYd9cI3y3wZEghRAg3Dtt/18v4TGmvlFL0T7ALpzPahZh4xS6ToVdOCqYKOHQxAl1c+qEyw9tL5mcwt+rAOEjnVAj3oRsnecQUlXoLgRI4VaxvYXvCMJ9bRDC6ejaTuE8p59wi00ISCFuZZFCcp1Qsyrmvvw6rioNwvnmh0OofZdhQvUIfpmFRzjW/KtyAdmgvViWEgo7QaiJuHDhwt7UAFzCVx6haxwJeU8h164EobCvDyHIL4UZJswrBEVIueMcKDTV5RihOImnMGGwwi6X8Ev+gAQKIaeQhgi1W0ldyTAhsQh1NXzfmxbhUKtCEi7kalaXWxiWREI+SKH8kan48UIqCyuHsL1aKH/nFD6tQkgn3IY0VDF9LMK9HxwE3W7BC00PHSFUCNcLlzcdI1x3is/xtgqZXvgXWsgMQsgupFcKm0Ah4IS6+71iP8PKBFOFFAJeeC6y9lR5C5f/vYXWF7Wy6Hzp6C8EvXDKICw9hCShEPIIqVuo/XKUysJShkm0EPyEm5MTtvcQSgcwrXBNCfsbwgiVUx8n9Ny01wjfN+iFruoxCgtpWH2jcHsNBqHpkRbhVFqEL7Owv5HwhReO1WQ6UxohfERonDhMCLcQuva/h7COEe7TxQhNebkuSCWUiyI6nkKaQsi3CGxDO0Njvo4TIntbrNB4AVJ4bCXl1N9GSLRCJhDYI43QeErzCjuXkLiFfDyF67c2ITydwmNolFA+HquQGISTv1CcYDnLnkL9miol6BQu+zmHcGi8nKYiuQmt8RBSh9AyV1ahvpAJwjarEOzC+f4UQnNocH8/hdqkE8b4ROFo7rJ3EnY24RLlBNGUQrnYykJ2qVBXLXTC83e9sBOF5D0uPzh2jVgWIVXIEcIqWvh+zFzC/mERnj0RIQSX0Pj4SYRqRCFcKuRWJkoIOqE+nVU4IoQkgZCf00+4/tQ6F+G76vkLIZlwPwM+wvcM9xC+v9AI/3h8XkjyCIlBCAjhoArXgc7uexTFWKEmnUM4FympThHdo27CqfAUtnHC9wJ6CecunFVIEwjXlfysEEKF7y9LRWhrKIsPIdTEdORyCCFIaIpDSBVhV8YIu/UZ/eMhBD8hhAtZDuGyuS8VTpVmG7mE4CekUULt/aUy5fsUErdwPiFv4bL3+wYvXDphUNeThR1C+L7l9kJACiGVkH5aSDDCeQxiP8RGIaQV6rrBJgS30KOZqE06WDjWdHvKWegqNuLtQ9NdIvxW7sJtGyqDm27vw4SdQ7hZOGH9aSHcWChjtB+uwm16l1CE2oRKooQbaagNj28WwhXCGcYaQejO4EPzFmpysRBk4X6WR2Ot+5xwjVPYnULiP7MtFCvsjML32d2F4Ozh+pQWIU0jPA+vXUg+JnQabN8+Z2Gr3ZlsER6dfhZS48jmuooQcgUhVliGCu2JEYJByIyz0SxCahYOZawQEbcQNqHcIBZhYxCaKqpdWLqE2nTHmlwiRLx1czTPwkH4asOmX28uBE7oM2UGIY8yCUvM2CssVuiYo+CegZvHRwhuoevYaEKTCzu30GulEwvB1IBeNiH1FvJzr8L+gRa2zbXCrUr2hvLTXSvk8r/26ubKcRSIA3jP6MDRE8F4M/GG1AHMW9tLYlYmhKCjDnqutWRbBlQUVYA+3Nv/N4dpfcBPGKqEQjth4dj0REKICSEq9OZr3lJ4J6jQ6HzheQpo91JhmKA4kFQh+erXEcJaQkaKCU8MYTvZkYa6ObcQCgmRCB61hAaZFOTCjrMzhkdvT9abENaE8LwJ4TlB2O0wITCE08wlVMWEbnQZYeUIjS/sMoogLfQ8AeFNP69wkqAwELNnChntjCeEBKHTxjcqBEx4Fgi73wkfkCgEX/i8li1M3NAGe00m7O9whO1uRuHFvluxhM2xkLA5SIVXhrDdlxOiCQqvKiD0NkEBYYstnScEX9jtwkJv+BmEzjQyITY8JuzyhB0phBJC93NnFNoNiBCGU1hoL8VDmJsLVoqi0ZiwbwIJY7kxcwr7w7cdofMXR8jtsga7whKaWix0UEyhNtjVftSYUjOFwWXLEj6VAiHMJoS1hW0ESglpIyGsx3qoxcLJpBnC8K1BqCIPPUeJCYEjbA7st/KF/+x4k1T25zSHegnh8LM3f36kCxk99f5KaWGFCu39IBXCKASxEDqm8OMzVyhNt2MI2wMu7H83UvjaD/nCphea40Q44Czh6XN66ucWPoZgCptPfl1Cili+UEeFEmBZYT+WOZ7Ba0G+UGZLF2qZUJ7uF77WCUInvtCIflKpUH1JIcDyQiUUQlho73pnq1JjXHeJwknw576ycBTt3PFLC51kCStECG8ihBRhk3yErdTOX2Ih3SlWEXo/iy90j1xE6J/PtYThrZYihG9hghDyhP5VZNLHPbOU8LU+4+opzP06JIWFZ1xoRMJ+5ubozW/S12tlobRmZglNitBQwnZfSug8Vfe2kye87CnhGbmeLYTAoDdhd7NpkAhPCUItEw6cUXgb132/oBBwIXwRIaQIh4SE3YJCPMYWttRHXI5Zwqu6KtkXecJzVHg6+EIoKexC7c05gfMKYWnhvxsWtsP/fuYLa1TYekvhCA9zCZXXPlKFZDKFWIRC41WThYWvJAvv9bCvtAWFBlHRwmj7f/UYfrW5vRM4xs1fQmFFCoeKW0BoNdINCaGsMPBIEWEdFZosobb/TBB2e0+IzGSoelhNPsgW/UwV2tY60rkihzVfWM8sNKSwgpopNHML8UiEoeI/bMGpsCLJIiHQQh0TDvk/Ca87965iCIEhnKaSPR4U+rc3KVRbF14jwqXDEzrXNiukOikrjbUtOrygR07FZoQxZ6JQLSeEGYXj3HJhaHrrLC8j7G+4Qh2Yvp4I8YzdTSYMphc2HzFhP84MQuCc1e7XEZq/ywjvT7Q/kEXYlNCEhIYhRMClhe3hQgrJBcWXtPGFkRdXEcIF+JEJTwWE0nhCFRc+wxNSRdYIhOO3Ku3ezhTSbSAmVMO/iPA+zDjNifXVbGFdRHifxhzfRHheU3gfKiIsHIEw8rELCdHVIYXWJVpYlwFrdHJK2BzS1qKMcP8tJINv+ogQCU9YFxPCNoWKFraHUZi8l1JeDAhvZbnxioZQOK78LMJuny9s9nBVDGEzrZ4mNKYt7CJCdIXiQlhcWPXbYTkh0ELrLIeFr00zl7B+CveUEFYX9kbkJiHUmJAVRAgcIRqRsGUKIbyVs4SPaP8/Lbc9c4WTm0LhlEpGC4VquKkEH/vOQtimULbFB+EFudoFz9RbCMHudZPhiguBEl4U6WQK3aN+3dHFRZcRQo6wIYXV6sJby7oLa7aQSEnhq5UmC5FunCe8/xAFhebIVHDb6FMIhhaazQkfCQhhO8LXxGfWQGHh5HqakFiabOGhvLDbpQiDn8gEhYWACi8SoeYKJ9WH6rJcISwg9H53h11ACGi3poTWsbSFSiBUeLdNE9plYptCO3GhZgmBI2xTjuhEaI8VE9qXOQ2/TS0iltAd4yHUAqHJEl6kXzkKneBCWEUISwibAyo07DGmxTVdiGZWIZLZhdNMmzwphHShTvvU5s+3cAyzy9S+0K/lbyo0JYVXlSS0CosjvB/+FGHQsbawLi0cX9uMEGJCwxEizWZx4fNvXNjlCHNj2t8f9CoxheGoskKU2pH+ITpPWHOFV7U9IfjC6n2ECNXtSHUp4e14xoWPWMLrcsKGFjr18Fa7dJpQntoWwlLCbh+apTJlhPZlsfC2nQoIkWKSLIRZhJ3iC6X7bCqseEInfCEopnAslkIhZAvJThQQeqkCr2xTCGsLz9hjKUKwa1ZNCyFbqDOEQ90oI7znnIb5KsL/APDeSDWqtMt7AAAAAElFTkSuQmCC

Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAA0ElEQVR4AezBgQAAAADDoPtTfyDVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGcPDmQAAAAABvlbf/eoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYLUHxwIAAAAAg/ytp7GjAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAuwB3qgABrzap1gAAAABJRU5ErkJggg==

Mask used (BASE64 PNG encoded)

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

Mask used (BASE64 PNG encoded)

iVBORw0KGgoAAAANSUhEUgAABQcAAAPmAQAAAABxjhSGAAAA0ElEQVR4AezBgQAAAADDoPtTfyDVAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAIGcPDmQAAAAABvlbf/eoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAYLUHxwIAAAAAg/ytp7GjAgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAuwB3qgABrzap1gAAAABJRU5ErkJggg==

--- Psycho-Visual Grain Equalization De-Noise
Parameter [Grain Size] set to [4.0 pixels]
--- Wavelet De-Noise
Parameter [Filter Type] set to [Distance Weighted Outlier Rejection]
Parameter [Grain Size] set to [4.0 pixels]
--- Wavelet De-Noise
Parameter [Scale 1] set to [95 %]
Parameter [Scale 2] set to [95 %]
Parameter [Scale 3] set to [95 %]
Parameter [Scale 4] set to [95 %]
Parameter [Scale 5] set to [95 %]
Parameter [Mask Fuzz] set to [1.0 pixels]
Parameter [Scale Correlation] set to [6]
Parameter set to [12 %]
Parameter [Brightness Detail Loss] set to [12 %]
Parameter [Grain Dispersion] set to [5.0 pixels]
Parameter [Non-linear Response <] set to [Off]
Parameter [Smoothness] set to [65 %]
File saved [C:\Users\User\Desktop\new cresent nebula 3 june\new startools 6 version 3.png].
 

  • Like 1
Link to post
Share on other sites
Bottletopburly
16 hours ago, red dwalf said:

also noticed this edition of Startools, i opened the one above, any idea what this one is ?

 

startools

 

i think avx2 is a type of processor

 

Advanced Vector Extensions (AVX, also known as Sandy Bridge New Extensions) are extensions to the x86 instruction set architecture for microprocessors from Intel and AMD proposed by Intel in March 2008 and first supported by Intel with the Sandy Bridge[1] processor shipping in Q1 2011 and later on by AMD with the Bulldozer[2] processor shipping in Q3 2011. AVX provides new features, new instructions and a new coding scheme.

AVX2 expands most integer commands to 256 bits and introduces fused multiply-accumulate (FMA) operations. AVX-512 expands AVX to 512-bit support using a new EVEX prefix encoding proposed by Intel in July 2013 and first supported by Intel with the Knights Landing processor, which shipped in 2016.[3][4]

Edited by Bottletopburly
Link to post
Share on other sites

Using AVX instruction set enabled software can speed up applications to achieve better performance. I believe Intel ICore3/5/9 processors are compatible but Pentiums and Celerons aren't. It may be worth a try to see if you get better performance. At worst , if it complaints it isn't compatable you can go back to the non-AVX version. This is obviously one of the 'improvements'  between version 1.5 and 1.6.

Link to post
Share on other sites
Posted (edited)

interesting, I did try and start the avx files but would not load, just disappeared. 

Edited by red dwalf
Link to post
Share on other sites
Bottletopburly

On second dev use auto dev and use a roi play around with different areas  ,manual dev works differently rob auto Dev will/should give better results , from startools website .

Usage

First off, please note that this module emulates many aspects of photographic film, including its shortcomings. These shortcomings include photographic film's tendency to "bloat" stellar profiles. If your goal is to achieve a non-linear stretch that shows as much detail as possible, the far more advanced AutoDev will always do an objectively better job for that purpose.

Link to post
Share on other sites
15 minutes ago, Clive said:

I'll give it a try on my PC and let you know ...

It runs on my laptop (Win10/I5) but I needed to ignore the warning that popped up to start it.

Link to post
Share on other sites
29 minutes ago, Bottletopburly said:

On second dev use auto dev and use a roi play around with different areas  ,manual dev works differently rob auto Dev will/should give better results , from startools website .

Usage

First off, please note that this module emulates many aspects of photographic film, including its shortcomings. These shortcomings include photographic film's tendency to "bloat" stellar profiles. If your goal is to achieve a non-linear stretch that shows as much detail as possible, the far more advanced AutoDev will always do an objectively better job for that purpose.

nice one cheers, what do you think of the rest of the work flow? 

Link to post
Share on other sites
Bottletopburly
42 minutes ago, red dwalf said:

nice one cheers, what do you think of the rest of the work flow? 

looks good rob ,Dark anomaly in wipe i usually use 5 pixels and that will be the default in contrast ,5 pixels is usually what ivo has used when i have asked him anything , in the denoise module the one you used you can experiment how smooth you want sometimes too smooth looks unatural so you can play to add a slight graininess obviously only as good as your monitor shows you , for me the first three steps are the most important Auto dev ,Wipe Auto dev . 

not that i,am an expert on startools  

 

Dave 

 

 

Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Restore formatting

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Loading...
×
×
  • Create New...

Important Information

We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.