I am currently also working in a similar situation. I want to generate a PNG image inside Processing based on the XML files containing the encoded base64 png stream. So I started testing the image text in this online tool:
http://www.askapache.com/online-tools/b ... converter/
But so far I have not been able to generate a working PNG image if I just copy the code from the resolume XML thumbnail file. Am I missing something?
I am copying the code between
<image data=" and
"/>
for instance:
Code: Select all
12618.IBkSG0fBZn....PCIgDQRA....J....dHX....Pchl+a....DLmPIQEBHf.B7g.YHB..f.PRDEDU3wY68tGjbcceemeNm6se28L87..CFRPBP.RJRBJQJXYIYKKSYIaUQVx1xQTIRw1k7i7XKsIQtrrS1XYCH6j33rUbVmDuaJGWqsryV1lbq3pbbh0VwxjxVQOohdXRJRPQBPPhAClGX5d5W2Wmyu8ON2d5dlo6Y5d.3Csa+spFX5aeOm64dt+t+N+98676ALASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvX.QlF4pkekdXru3RRApUa1WoGFSvMRHRQBBtSdLIyqzCk8ExC4QP8aGQl9U5gxDbi.h3SPvqgq9s.b+5BQxQPvcgH4dkdnLAWunSmaCQNzqzCiwFhLMAA2Ahnekdn7RI9+SeyQylGEIuAkZ0a38sH9HRADoHh3eCu+Up5XLMoSma9FdeOAuL.4ZSiH24MbNHhjgqbkRoDe9HhW5eWBQxBh5F30RQmNmBQl+FVeNAuLfye9bDH2Mhj+FR+IhBQxkRjkefD0hn4BWHOhTJ8+uwP3KRFD4tPjh2P5uI3kXHhlf52I0pMyMj9pG2sbHi.2MAEhjEQJwkkhHh20833pWsLat4c8RxR8SvMXHxsfH2z0Ye3mJaWIj8vzMNBzgyo6wjLHWoj6y0IwiHGBoyIut5iI3kXHx7HxsORbpFDd7TNWihhEtkk8PDMmceVtUDOtrTjqd0xobGOXiOQNNhbzCTamfWhgyXy28dxwZvsSkJyV4zka2eY2bDe599tdzVdVzoxPVdnxRtesOPdMSLR8q1fHdDH2EqtZkwnMckuq7HKemqcpAR3LpDg85iroW6wSNQQxSX383z3dBd0A5z4jHxQFoy0IeWItpTlG+wGuGh6lymZaDcm8rZN6YGWtZYbimqVdj4dKxLNSLMlWqI3k.zr4QQjSrumWONNGbEB5pzwi8XY37mOGm+74PjrbdIWJgz3S.1qu8Pjhr5pUFINxhbyzVt0Cz0ZBtAAQlJcOSG7RXNNT4QjJb4KW7.aaNo1rzoyInd84F5RlxC4TznlLChbqHxgOPWqyJZjKUf0VapTQDFLgnHJjfamM27aoMR825ZWImLPGib4dNTJyN9MEMZLGfGPadhmHj64dL7nnQdDMOJvC7.B7vvCC7fOnLnq..rxJkfJ+NjUeBxl8+LFySiH0QjX.CIIJ.MIjgiXJCdmD3cAXQjePftaC3tIjd3GVwCB39GfGM8bNVDyQBPNfCQiFP4xqgRY2psJkfHWjbp6.QZiR0dbmBmfqGDDb2TWlaWG2sTVoTNHY1RNscJu1nhD4m.QrHhfHMQLeVLx+FjjyhH+NHxuOhbNLxuFFyihQpkdtBQxGCY.Dd6E143UDeVUpjJ9vtYXHREBCu2C7R+SvA.wwuKBCes653hjkqHk1Zo1w8g+t6u6.i7LaQP06SDhYYDoi6ukqfHAC37VAQdiWWigtbNEQgb4hLHWzR5baHxO7XoM8qRv258Vib4h36eZz542xTDNNEE.zbTUqsVpRgbf35Aj5+f+Ln4TC3Wy.5i.j282r.tkK2INDX+4QpM6AZb3ZiST.kRPcSsSOdws5OQ7H1adLw2CMZb8u8iSv9.2VssHsaeKDFduHxgQVsBO9dXWrw8guHYIN98gwLHtZi2GiwRRxGN0X2i93XuNWmojJylaNOggmN0LTGBQFzKKSvMLHhGAA2Ic2BrVsVj332NsaerQnsipQhyhH2FFyW45l3q2mmGQtOFUiGOJi0q1bA5z46k1xslNenvsMjS7h5WxvladH55nAWUJmZVDOZ29Voc6acekAZ+ssVlTkW9WcCj3q6m+untL29RDt+iQEsZcyzoyIcN6fTEQlxQ.13vz55zQLlfg.QTotndksVxUDEOTJQmHyk57lE129YvGOCxkJPb76Awr4HRTcMDY0Q6bMwHxOANa6MXhv8m3ywctYyER+tlsqobwz8J9a4TF4U+PjpD05LHxTaQz4NtdKuPVjhoDg6sv367AsHY3RWp.hbaHxmcDHnhQju.F4WAi7KgQ9z3zHdejGTdZBCec3LNd18bLs6wbEjNmh0jo15XOzC0ad3rhFQJSXyWGi51RNAiHDQSb7CLP+gy4.n8zl+QDe2xwsVbOen1SKxLNtRaTEi4WYj3lkXdZLxuIh7KgH+RXL+FXjuF8rW3doTxuMxlGZabB2OaTJxgoSmSrMh1yNDmePjiRr7NYb8JnIXHvow2wPj2zdbN69gQiFGI8g1PdPr01z473433efzkT2KNXMHQdXBC+PDImwoPTvsSX38QRx6m.42lj8cI4NjD9SfHU3RWpPJm2gIVfGhbLZsyWlFhG4r0OG95Q5bJjwzYKlfcfd9N2IX+BsxA6hTURWVc2wDrivdZDY5T2a5ubWKyZjqfX1.w7hXLMvX92hD95okrXJQwr37LkihHKPivSSn4iiwrIhbYDoFFyRHR3N3B9jDE8FYMYJ1Xip6Z4X23qPZHkVcjtW29u2MjNKib4WUGKIu5bufcusWjkVRXwEC.xBbs8qUHhBkp295pTMPj.fEQjBaEdlh3yxKmiEVHl5AKPor+8.dK.fkHv94QqeJzbDr5YQrsvSeQhieXzYuBEQfhI.NCdu4lQL0TYfnUQo9SAuBX40i1pPSBXeNr5aC36DMkPquKr7Ofx7KStpu.fOhHnTw.PMYVBXZxmeITpfcM2bt8cFbSfi.DCKpReAr811K4WkfabgP3MJ31uyBvSDh5zQr4lGBOurTpzkGg1pG3jryzEKftTV1fUYQzr7xBEJjibk+.jw6eNJtFZdJfGCi4p.fm2owZ0n0qSb7+YxjoNsYCJhg50iX5o8flZnbDzLKn7HrzLnoHYruafE.qOn95fWBFyrX8NCF6qgL5aEO9UoYy+8zrbSV.Efg1LGNdVKMj6kAeOtqyayCAdYPUZoslSeBB4zpn8ssuLhWcsUbhjm0Vq.PKTmNBQTjIyzTr3ZiZOLv3yPoDJW9JTfHNLuUB3HL8zySkJ+CIu2uJvEA6mDL+QX3ah38Mvs5PNzx2jD9bjIyRDFFSQ7nNwL8zBzNG3kmZ0.JGCJM4HgLrJI1OGneJPCFuJjvSAdW.w7m.5+TfuNV6GihE+EXAVDXVRRd.zAYPodwg9hT2slaeQkMHLoLh3gRk.zjCQVt7qtVR9UGDfhnR26UEG5PM5axuB4IAkJbj5GkRF5xSh3wFazFedZxv6mBE9sQq+EAxivWBXCvSiM9IfjYPodqX3qhw6BXidNZ0p6XvvzX.rPw7PghTspM86IPnhVshvXtHI7BXjuHJ6YvmaACOIdXHOcPwW.sNBs9Ci096g092Ai4hDjeCFtCytcQL164hDL9sApt0byQTMYwHapSu9phm8uxOHDwm0oBqtZDJUms8aAAyA4Web6wcM459dIlYFCIba.+H.uszesIZ6Jn0OBIbUxnNJZ8OFh70vK4oQRVirY2.kRgMW.saCrQZSCyQTTdXC0VGqSt.TJEFSS74J348hn0eZfO.5jShjrIvif1bEbxpAZ8aD3GCub2El0s.E4QdjsSDNVb+RQwhqQPv1sIp5DAL+7c.JOPkedYFuxR.510hBLGM4zmd6xlHWHO4wCn4X0mc4B1yNeZfJTutGv6Cs82EOt69ZQKD4oINtIff0+ifkUwZ++AHC9Iu.fPwhVmBJESkadCEQJeTJeXFfYDZglBDQwhFJVTHH3JjjnA9Bf8qgV+ygxOGwwsIQNOVa8sFEZ8wvmeKpV8mBZjk669bKe5tITLNb+5MWD.XPjJ633I.M.xxqvYbgWYH.O6Y0tHXaIEJUiAJuS6COGju1XOoCvGWYAbF2sVsonMUnxz+b.+6QqWL8rDfMwZ+TnTuNz5uK746GMk.6eLYxLMwxJz11g1n.hoDFncJA3LfRkEmF5tiUBENMiS.f74Cw5eYRRlmD6+Mz5ln79gPm4Mh1+6.MeZvtNc0lFlAOu+WgJ+ynZ04nd8ob1Bbqw63i74WGB1si6pTBJUSbdtcEjG5Ujsu6keyv3LLbAdhmHfCc5AqQ1i7H934UBX4qiqjlVslmrYOF44iglef99sHfkwx4wZ++FCfx+eLJtazl+knTySjIfrYdFRRzXZFAkE.CEKZwolp.jCkpOuOoMolmQvQDlEavFn8OAJ0QI17eBOu+In3tPyuBXWEzK.bu.GEm+EpA96f0dWTr3u.z5ogRWC0AV60FDpNBhjafxRqTAHRB7fkPjfqiqyABu7xATjhr95EfArja+3LmYFLlV6JVOFKzZdJk+cSwh+tai3yRCfK.77n4Iw2+Rn8qixFf19MAuHTp6AOuY.JQgBBkKm.0Ap2kKT2kDygO4odcs6XEcWA2BqNEUxmuHJ+oPotWbwNxSAjPRxlDYuJVdbvdIrbAvVitb5z5uKx386gI+GjNrvdtUc6ETJgbQ0f16lKXuyo2RxuLmHOe4g.zsUYKP854Xt4ZMvkb6ctJpToJqrx3p7Qe8QmiiI+eWrp+U.ultGEXMzbAfqBrAFy2jvvNHligVWkX42AiYMD4IwimERNLQTEBlAlNOLsNsez.Z7oHI9EQq8f5ZGGvM0LM4ffpDwLP7gPRVEQ9hHl1f4+HBFT9mjrYiPjmA3Zn4p.WDqcE1ZIY8wvy6eN4r+zDFdmG34C9xa.E6SlxA.mnNs4vGVSqV2zdnI9MT7xDGv0JADjZJito4LWNXwsWnYS2ZLMNI5ENwIB169bHPj6Cx+uDOueQz5tdNh3VtydIvdMbusuNdxyStb9j06sgx97n7dFLFe77dVhhdAh7uJYoFjOjffB3LowT3X0kEip.JximWNZmo.TrBAYqR.Eg7wt1lYMr9WDOuKhmmEs2UPY+p3waGn.h2KB5UciI80.8kvI5Q2WRygV+QHStecjn25AZNQ81RnSmPfCkxLvGQxlN2WLM4IUBHOKQBECaxFaT5.csFS7ROA3EtPdX9XTpZbS2jK7AUpV3XWDvwNVBtkzxx5qWljj6CB0zKsUjqOhy8Fwx6A32CWbN1+42AzKA5ZftIPMRrqQrrJIbTf2JZ8eAljhnytFgbEDwfMnCAA4.ZQ9f0A1fNcB.J.LOVtI7LGEe+CiVWjffXhxWi7rNPCBBxBDPVR.VCwaITLEZ8mAq80AbRrQWCq8pXoFPKbll4JXo01T6Py2G1LeBD4GcemG5Rj4BbdW5GoPAARdsTu9zr7x4.Tr4lFfPXA2yDkpM2jpMpYqyLyzg8y2JuAfWZYy5Xi6kRvsc3X4Kz6McWIJnLKiu+ykdDc5mb.dHBrwFJLFKyOuEv.Oi.yjEl+uEvuJNNTcQRpf9wfMFzs.6ljPCT5kwW2D3ch0ZvZeV7HCR7yiMoCEJXvM+nnM4onzBVOgBy0.WfHU.sGXLZxJsg7aBXI+5wvb.T.xqH.C4IhN.dbUzT.XSz5qhk2AYy9uCi4JH14PqAMVWey0vI34gwooMn43.+GHI4Vwy6eGPW6l5AnYiM7XlY5R1Z31u8z4HhAdQBMEX5oMTs5tedr6mOQo42vruTpXxKcb.EQmtsZid.SeLlkbrBJUR5mHTpfz2N2DkZSlYlF77Oe.PBKurGb6EIdlOBv+V1NwG.IfdSfqBZCXa59tdSvbEHNOVdKf9+NNB7WjLYpSgBQ.A.g.wnHCnSkepdO9RRxKB7bzyDIceYRSmN4PHl7DAzAaqXxRSrQWjjjB.eZfy.LGddWFMahi6WCW+XWI86w63dJGdd+xX4WllMqxJqjgKhEHjYlowVySt4rNoygInTVxk6JNi6Oh3lTswYqvWxLQyKkb.Kx7y2YjsimH9DtYIxM0da5EmBLcePGRsZ4nxz+vL36k7.mDmmzzBzc.pglPrxJPl6FnBZdRr9QjoyUfLIos0j9IKEPn8z4IbiVLis601GeYYhkXLJehZpHIwR04bW2BErPqDnTD0AltjPaZSwrcHI3PXTWDTFPd8Da+Rn0cvZqfVeHvtHVcQf4Pyf8mQM+PTt7uFUpb0QZ90gFjmCOTSxLXzl0VqDhz7.YS18AuzvAzI6Pbp58iFZzXFx42brM8xzk+oPy8sGmgOtkwNAX+NA62CZ6IA+ovxa2sTmI.edAnPGb1HreDgiKjlYlICXbu.DFlkP6ZXLqP1rdTFgpU6trsuqMIQPcgoQ.TTjHZzHDi5RfWHJ8UAuuKTpifRcLz5uafuKPeanYggR74vMi09ObrLOiRIPbcRkQXDaik4mOfTaLciF234.JRVVdYMG8nc1+Sdq1nffog7uvXdstOv9+T2uw95dY5r.2IvMil6BmOyk5oMc1.JXADZ0BJknXCqIUlJqyG.ICLui.Uo7HaRM1LIj74mBJCquth74yQoRQPsH1PDlYFg53gOJJgkJBz1z.ehPyhf8lv2+jX4VvYAfQ5NO894CRRxeBve1H1NfJWivvSl5kLi1K6JULh3yEj7bB0Ay5DCA2XI.cxJjiEVX71+VnBLFd8B.xkJfM4mAse2XBdSf0wsiB6m1akPy8m92KBd+TPtaB3yA7LTR2lFSmvLoaoFqKvbQ3HvyQCDxgFJ1ho5ii4bYyBkbxigQ1hbZZzzoSFnPYRJdJxodCn3uFvY.sFXwQbsnHrrDZpfa444QzeTD4+AJ094vtNnTFDoENSJM51ZUo5fbUW9oYbVY6kM3BrlJGHAV6z4DrpL5Y2T.RR9PzMjHMlPLxWBi7GhQ9yPLMX+BNnAGyGcPj+JLleehh9YIJ5MiH2LxFUScgoonor.RqEITtebwiaYjv6Co0MiHKfbsoSCQxoQjEIJ5aijj+mQjOAh7kQjlGnwlHcPL+EHl+.D4yfHsRGyahj7QGq4NQx6hYjwb2UN6Y0rlL0MxDi4MxhpRIbx8MdprKRdH3lQk+YgQTH2.4NHm8+HnOCBZT7Lf8qC5UvIy1sA7cyt0JdbFWfRdRv9Uvn9Z3483DF97jyTiPuxjK2Q.dZZfkJbmP3FPtZ.kAtUf6Fq804jOUeub8sZSGr7eGreC.OPOGZtGf6FPA1mhXyONYy9EF8dryIHe90PoZLViDQ7Ys0JvgNz30tgfaLKAeAIOfb.sWzbPbMnvnpsbVr1eZPeO.ZDtFJ9lf9ZjXCPqaA7UvYir2EZNH6so37+O0sfVmEO6sik2BYx77Xzmmb5qhwLMsZ8jDGGio5I.+iALMpj6Ds93fdAzLGnOLt44QPF0AAaHveFZ8WEKJb1HrNNy+LGvQwxIwy6ihH+jnTaNRca9Vqm19wiPRoRvEWzEuQjSBu9I.cFaNyX+lD.xi3SXXIxUYL75Ey6Es58hSqrDz7r.qhk.z1Pz5.LlVf2WDOR.dur+xDZwIeUHZZC1.P6kZatK.5KivEPrOM1nKRPoUv1HlolpF7vP8G7+B9sxQlLyQ1ru.vcf0dJbJ6zBXdbZRmGqsHZcNbFWduEWwRBZ8mDi4yhmIDgRnTZr3il0AdVrLaZ+81A9wA90Gs4w4ZP3lC2KY1K37flx2HLR802RvmUzbNJCz7.EwUat4gnRkLnTKMRmuH2FV9CANCZTf8xf9KBrLVaSf1H5F3QKvDhAe77d.f2OC6kMKahl0.aCmApsWCzKiwrDvEw38UIfKyTTaaZM1uVjOj3w6ea+lFXJBYQ7ids34cRv6nXsKhVOKXmBzNEIFtluBveBv+UvD.d4.JhwLEJUQfxn4PX0ean4Dty29MAyG.U1u7HNeNOP1Qd9e6sUATgGlVa6deLw0aBbrBPvVgS330VEgadJxM0kFo2.kGKC16+2.z+j.BZhwsT6SQhsN9zDzMwPK7nMPKRRBQ4WDOde33DtCXeQP+MwZeZDyygj47X4YIKWFn1930N8H.c+syDNC6d0IO5h.2FFyc3HJ4NvxsilagcZSVq8QPjOAdd0vXxAdkvRQxPIRrUPSwTms3Tf8M.Z21UB+w.+HoNa59LmJdDFdRxk6YOPt9lHdv5kf4ZbPMR8AeIXQJxRX3lN.De.v5UHWo3Ql8u49de3o+QvRDZZB1DPeURrcPS.FcHdD.lHLDhmW.99AjjzDi5O.OuiB3xtBVZA7GgH+I3wyRS8EXJ8F6hfywISFwI2gQ70MLJqm94a.x+U1fooHmfrbbfuWf+F.yl1pugi3StLfFQ.e7.iO34gu1Gq0CmbtqBrNVJilb.uaLl+1.+q22QbWSxzfYXK6gNFv09PfRLtgNQJNXDft5qgG2zAPtusPo4Xsli1MsHm.q8eJNtDWFKEPyJ.WCstIhoCXZggN3QKR7ZBIMAoC9YZSTzUwieerpXz5mBw73348afxevu0KnPgjR3L3UI9xeYMhzaueEwN.B0gDGGJgYnFNN3eEf+HRjOCd78.1aCi7owX9p3kE5JqqSNUEFCoiIuTkRpgVeEzbbrbMzbTTpedhh9KIa1GaDlcWmJA2LHqOxVgXa2JpPm2Jcg7nFeWn6fVyxlhCpbet16L8B4e18k6hH9X42FMuOfmALalJO0W.s7Mvvpf20P3ZHw0HSl53darM81FMgnnSCjfW16EO9rnTWpuqgadPofcxIq+rsv1saV23ssqhX8Hl6+7248W+8Q++lHyB7tHL7KiVWjLY9qfG0BOfOaPNlgBPPYH+TjjTEXVTpYAlGOuSg09VScp0hf9TXsedz526HsT7A0jLa+dpBvXuT73yAzESGlCLwmCyQi3ZL0dX5EQTbQxgw72DO0w.8uIl3mAuLMvXxgm2eAv53sbaXgv8z57hTEIaD4XILl6kK5sx.NqtATztOtHNhysSvz+XW1wuo1Qa6Ocg3BazycNW65hyctZ7w9XADGuNYxX.ph5ssBNteA.8hfN20vCmlzkfvYPm6SiSFvL.mBs9LDa96gH+uCr2NER97qm5kLGLBP28Tb53Y7zndrQ2si4.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.2cayfHuABCu+zUYlNs95Mtk3hxGXB38oiyx3FjJOh3mlY6cNVoK+MOdKg6H.c43t1sO1Hyh+rhljjeJhhdqtLeexGHUNGceDfpzGTiuG7rcB0Chxb5AP7qoYyiRR3GBo1LDF95IQ9GLxq53JcE2DWKsfVuQ5b2nhKbg7okAityK6eV8e2igbHR9wpMiXGWlwtBeiZK42jKWjffaej470651k.r.ggmdDaSE5j72mD4q5RWsxLHx6cnDJ6T1uAUhu5dr9WBtGwbOBo8q885igWgOiie2zp0hTStMhkOGF4WFY.0EuAgffdUT8wk.DHMsF6ZurQ0w+YtnFmBG9n04tIKYrM8hBgom1fH4IbwalbMV9.ZrSAvirYqwdk7sEQiDbG.uIzrIh8SAjPTzI.VdnlpwsMT8lK5Uhu5Sq0y10VgcM4R2sdy828NNaSNut+uZGAY4v15KkRv2+hjo3IPgGX+THlqRPvYnQ38tO2+djK2laMt2cx8c+Q97Wgvvi53hUkw+YtRHJxrmiy9vnQ.tzR4X2wJwnhDZ290gocKTGHeHK8M3MyArJqwfYu2PNBwwuYHmF3OmrdK6h1srMAuy.cVZe3FX2EmrsFAJA0GezePrUspaG1FbKMlO2da+SXYzb2jOJK95+bfMHe9+aTNaah4Mxv0VMOv5zngeJG2AaBo8drGPtbqQmN2OCa6E2Or3hgrLizR26OAnHJVbQ8AxgCbXFxl8PiTJ1c3igLvTts8IYY61d6RjhDFd+jK9XjIyWCk5oPoLXLKPT7R.MIq5lgmbosteFjc3bDKNNg83lMZO.d384260eZ3LVTmS1thN8MVN24TnTqAlCgHI.WBOlNsOdVxviQTz7DIeaH8UyPDwiUPgRERkJFPxP85Gz7IyZjISQbwLyAo8FVft6k90IbBUdvL8hH4Irw8RqV27ARPeWeLKNWeuqQV8vYp.McjSRTzahlMO5tZWRxGAW4c3dII4CfH8WcgFr89586ixKl8qDxnb958TtOQ71VUeJN3uNRz2IhTkjjeNdrcrjlHySTz2dpLe9z0ld.b4KWzk88qM6AhHvMdNZZwf7fY22tUdp8AixfymCxxuhnIL7Xjs7EoXwMfQik7tPCzzrYAbaGk6sqnniC78Qd7HSluDkKekcbsKAThFMBHI4j348YnSmL3bfRaetQ0tIBU8kaAuQgtxSNH495pbhRY38qLHOhOc5TB+b+Ef5nvFtnw6NaN61ZmiK0WBQhHI4sQb66dqUoVbw.78yAdGTiBmg0WuEYy9LD13fknhTpX3XCtX5zG1u5MgOcEvd7whjjzHcCtif8LFWGNpzNOkK6kFZfEQj6AkZZBCu.J04ScInsaus1LCddIHUrzMsTTnvJzrYOiX2cYwASD5VJdjHBUvCuGxYIn3QezAGBjNkS1trhMNSUJTX83tr4q...D0mDQAQETpUIgMgYJfGaP1rGZW2mJkPgBOGIIOCjIOh75XUoxVxfF3ePik2rL2btrRQnrJAA6e0Hcvvv97be+nryvAg6WsZyRPPVJW9ESORB0q60mrViNh7ODYYEjNGGm+xcExj4Iod8p3rKYWNi852PYNLrFSwBfb0zeKDWrLTdadHRWhvcNtbD1dzuWtLHnP1aIEEMOv.5iAcMkKU.pvVwZgu+kHN9VHSlUHq27CToF2ynFnTeFDYdlJ5THRSf5DyQ.d98b7OX3S2TpxzSuNR6hznwQFyrv.3ncJvdPCsGk6oTK4OtdJqH4Ie9CQ99BxbkxYNlw06aDYF77NCIIuIhzSC7MPobK29U9JMX80yrcyejhrbT7RVmjjaAxbw99kZzp0tySdC1cq.mlwCS10tIN28f62VluZ2dJy.cSqiMEPssN1xK+BnrKPBa.r8cDYq66UxxS7DMv40MqR1rOAggY.dif4L3pl6iNjGxiZrCyuT3xjIiKDTGGnTVVZI4fI+uS4iw0J3ZD4TCzPjcqIaiV+jEQNLggudhieaDIukgbd8D7d6G+GGQ99Qh+A2EQ0UtRI1by42iq8N8TD81pNm8ebQToEKwg866La8uWDqU2lVscQb7eMD4cPh72e.swCYHF8MRNCwx6fnnuMZ1L0tdi.bkGsc+bxc76XrkGTDetzv2As8RFvz7axXfNctIZ0p4PhYz8WNPQzHaTkFMlh1s8Ia1mEe+ySlgVltBfAXWPioJQloHVVYWbZN5QaAn3RCQCscuTrkGjwyjBtyUsMtHxdjk6cdXdNTCve778uDln4ASoAvPHOL+f8BYSPc744XiLOEkJ4JSEhLCxPbcrtXiMFrMecYb+0HH3V1y1u61kPlkGp7zCdRUjBrVp8vFUTq1rTP4S4xCNDKUJC0Y3lrPjRznwrP0PhhhHNN.kpNtk5FrSNpTFXEgcZWPnDdTkLY9lCrcUprAG6XSsuJYzuFpfJ0AC10Isi6CECZmNT6gjh2ysVEn1P1knKhW1R34kGZ1auMDwCVa31mMe9.BvUbZbNZpAtXG3Allg4v.hnXlYzzMK+uSnTWi74iYbqGwVqfKtQ1EFLwP854IeyQWCptx8seIWnooqWy1eayQsZyxZnYpoVCPQl4xP0pNtdsaqgf8PNzC2g94B5z.dNbbuGbLm31RtNPso2ywqSAidDgm6b8+lbuGfOZeaY2ix9q3R+PjxT2L77hiK4d1.qcVnb+ULzBCk6G.zxr0rR2fUesxYPoVG2aMyLfkkGEqdbYBCmZb1uWVbw7Ljrq0fI.md5XJWtIiRQLoq89xk6x6oaw6PDafyn1Oxi3yFaTkMHOSOccNjpAxExSiFEYZUujlSwhtr+41MAQWiI6mdOjcqkmJxgvZOFhbg8YhrATM2.kgrercNWFFTvj+.a8Wd7.igYqDwCZUlomt1dddQQmGQVjjjE1pcMHOOwSzyad1tG9nSY3z6dSopQlLNG.1QTWi0IaprmcOu8eKWcI5xWfJUVbjjGzQjGRur451vd0AsAxy9G472DIIMHe9QIr7RXFpPylEADZznAKPHNBroHHXN5jeYDo.KsjBeeMwwGiL4AWsvxkxYWYEWF+iC2c6x5POtN2BPU78+q1yQhy7K0vEX3CJFQFVar8Mwq.D9xz0krri4l2WkkazfiVduay0t1yvgOrFOuSA7o.DpPKtm6wkBgWYEU57AoooWOhhV.scdDYI543DAjK2QQjMApwbzFdgLz7XyfzziN3SAtxPGG8lGBnVsUQjaAWJBYvPjLrLdbTUKFqcTo+SdubyZQlkNctsQuiAhR9YRcM9xoZFW.Qpj5qfSwi+3Y66sZOjfWS5uMDYv113o.F4O.Q9sF4wia6pFOyK3FetLAlbVcZ1vZ7LztHEXyM26hvc+vHebLxmBWzysW8aWtfKRX380adT7SmaKQ8faGQpllk7cVmHJ5LDk7KLVZ41t8w1la+u8wQWuxNU7jqNhNppavWZaeeUoxtRIWhz04EG8ArqBf+UIN9sus9eSY9csWmauM27Vm6vG2GAi4WGi4yPPvnWSM55Dmh3mZRk9WlWyC8Pd88Pz8f7QDeD4voO7xhHKfySZ72w45sU+b1crD43VKNZ17nXjOIFym.YOdoumyMLOAA28PNGMat47zu4ijv6Ew70QhdCi7XRDcpS9VYGGOklo+9+JkXjrGnaRqzNNl+13R376ta+.v43WBW9w6WruGFyxd4rCNteKt0M1f62SSr7ul33OAQQmYf2SO1ikgGWbxJd9ymKsDFjiKbg7HxQIPtizikI0U46mXR2W7erSGKUuiuuS4TcDsxikIkHMKhbBZ29Voq2C20lq89jYfDmc5bJhi9svH+FHQeGCYtvM9pKyQnbOCcd0cMlaqwuH+cwHafH+eNZbp1pebLh5mAxUjcaxncFrY6QG5BVkce7baEvIhbKLtph2VtELxyiQtFh7GR612B0pMy.uV8i.41Qjdd6xtMT76f33eED4eDhr6GJhnbdFhjeKBrsK3dWtSGE4kgh4rHY2x6f1oBU8HPykNl2sHGh7ZII4eDFy+Lhk22ttW6wAbFjv6ceFK4RIBmCw7ahHKgH0HL70Ol2SyPmNmDfsVVevWqQvqp1Ke52sl9IQjSMVCP.RjedbYzyWDi4SSRzOOCxx+65ZFbmz0UpbigtSvZjjeTRR9YII78Sb76Xn8wEj7rexn4H.NxX81+AAtkt26GDCiIPue+aGI4ChHeXRR9va0e8O1qUaFBC2qj2d29p.IQeXDyeNh7btmQl+OF64AGSo6XnOScuXsK5pAIT+vxP..HjjbmLtUwx1suUT7AALnIFsbR7x752iqSODlykg81ZzoDbxb7QvXDr1OKhtEYxL7D08wIjknWr6dEoDqs1TbdI2VbY5Zav50OHNx9nAmsy5YyutgFpSdo9kiZucBDk5KRhrDvSgm2KhgeVZz3vay7OSOskrizNoFix6dwpuSbZJGgV+d.dci081S7DKSR3IY36101C6gTLHBPMO5.HL5ZuuVs97Tq1nU5r5hrE9fn4j3rv9zfWDX2fH1eNopHMkn+My+DXs+iA9J3k8KgUMO99ex8tOTBKhYKYPVfXxOWItcxgqxg61n8kVJgb4pNzU.tdfHYn77GBHLMCELEtz4aNlmxzcaOEwiW3EXW6jxNQlLOJIId.WBKeRJV7mlvcrjab7nnjys.DglMwxrXw.1E.9Pb1Q7YrHJtm6o.MZ+YIL7HCY0lAlgXGvEXYEOv.H.6z4lIW7FTs50nZ0Vr95ilBHhb7z7yWV15Ma62.KsIK24HPH2SyoH4LX4mDs9gnc6mljj6lb9exQzich1puTpHtHqSsZZbaSUCfPVbQPDCDeuHR0z3h0erWNxce20HwE3ZWaZZ05dg.MKuLb3CGgK4NkF.QWbiz8ZEt3EyvwN1n4Bb99eJRBWjLTCs9+.99OHwwus9Ni8WqyDdMfNA3oPaaBjCzdX46myMhbAWYEWwnb1YqSPvxPvwXmQ+3PrO5.d3qGTFcZNTJOTo9ClREybyEgLBQAuw7A.tC.EVB.6SC5qllJcOJolTdnHa1B.YHN9G.s4chl+2nEWkrY+Nv2+SsOFIuG5FiGcyiKmVEwpU6.TAWhGJFkpMEKdIHykXS7HJxBobIWc0JooQj7CQ4.cpF0EwYcfx31hPgYlAJU5pTnv2jidzV3JeV1TOYIdqzZVOwAF052gA+b+YjjbZB.z5eUT92GIxOJMIOF0dqTkHSiJkCH10A8SgN0gHzbyX4GaeYPHWp.G9vxVOGpV8ZfMBY.wSxJqrKOMe.tKzV6tP2iUfvv42l+84t4CfETtpg4PPG41vS8WG29BIo0pWWfBAw344SL6mgrONI1OJhbB7790.BHez2KQ0+bLpIj6dHhie7dKKcGpPbNp5NsR+pLEY43GOBWMWqAyOeKVXgDb6dTQjUqjZtghrpTg0nTZeaAZiR0.kpIJU.snHtZTbeWgUq.QFTpdaQ0y7LY33Ge7b.XkJjl9OJZyaAZTj+S7uAvih1+IjQcW68rQzwAJ.1jzj14x3x6zFf7n4cQb7v0HVjLvwxvtJFkEWhvvJHqscERN7g2U9VbmxHnX49zu3gdHOH7l2i84sEG+3UPjjA9644CB5WCNteqilKhUuIVaDZcLZRPkrHCOiqqnS76frdUwJ+tPzcBY+gQx9kPUTiKXs6i0dcfocu.s95ByMW5VPsLvBtiO2bkR0Zri62v4oKhbXb0TttaaUSb4v4UciDUZAngtJPnXA7.TL+dj9ypIyRIB.Lz0MsZzXVWjqQmT4kT3J.N4AZgHvxKqXgEftgV4FanYlY1dXVVuthoUtp4oVtDIk9H7829OlNE+R3YeyjU+8gH+VLnDItHYHI4XXwRFIBqJDKMQykv4DqKBbq348gPjuxt3JKhlZ0JQ0p6lIfRYQjKQHGGQ5rkG6rzRvhmW2+yrcxdUk55LN7te22DjqNCKIG5lzaA0JOfcJ4Nvk1YKgS62Khqx7DhOgnIDCInTEvUci1MBjSgR++fX8+KjM6ygw6dIN9OEe9jTnvZvSzvc8oMuvKDvRsBwIqWBFSurWJK3C0xR85EPWICALOMZLETuBMZTEHGDcDhhNMsZcXZ17P.EnSmBHOTeVyuukObdjbR5R2CJ2.596ooHsZky0mMmG3tHWtiAjAZTEWhcrB0CNDUHK0qmGHKKrfOqutGqslhUVQXlYRb2aKEBuP.PaVYkVvTMXctF99eFrI+Ajq3ooLWkqE+OESx+EhiesCbtsc6CiRUgLDigHWeaCwsm6WLcdLGneO.e66p80pMEUqN7jTpRERtfU.N1VyIKtngm3PaiNY6BJ93RVJcQMm3DAH0mi.6TTXlKLvKP+vY067asjnHJv9u.zeT.cZoG8Kfkk.cCv1BsdSbDOMHN9RjIymismE5KPRxahV9eMlFCv8SbmPxV7ywYOqlyctQM2MOnwaFN24L7w2Qvlu1ZSgLm37LmcDyFCxU5EIOKsjlEWrGGvAedpTyGUjZ0xxLyraue45ojGz+0LL70R1rKRM97HHTI49oUquFUqtw1N+33yPlLmBLSgwqDdlJXUNYW0bDf2.ncAij096gV+StEmrUWsByOe7VJNsWvYzcCkKekT5Dc+sa6bstGTzpkE4REHL2bju5nU7.cSbI8RMWg2EV48A1MAqKwba0WFXCDScDoNPCW87HoMJUFpWumu4IhhnnaGe+mloYCR3MPRRFxV7yA.e7OtSk9Cdcr0vC9f61DEyO+lXWQPtTgARbqTBOzC4w0t1zznwgg5EYwEyAbHbt0j2Pamb9br959Cg3KCO7X3CgausNw.5dcyk6qCw0nbx2MyPK78+qX5oussMWsBkHSlBjjzA7ZBlFX7Retn2.q9J.eCfM.aMP+8B7lcWuKUf4mWFIhO.JVbI77JkJmsgW3E1CY.u3EUbO2SBvhja8kQkezKJcJUaDwYDWi9sgGuHvmGKGF3yhXVC7ZiGAjjD.DfHgfDfPPZj32006mlrYiQoVhVsVjb4lCO++n9tZcCoR8.43r+iUKt5u1t03+HGoYpcA6UtY6+7dmOXULajP4xqSu3KViygKmCXE1Yj10sHNN+.TZp63ebq0Fca24NmrKN4mKyWjyE9CPn41He9ym9bwM1.3vTDmrlVRRZBjGRxgRUHMS6W.jkwhAMah1NGv2Ch7WR854opZCFU3lqeQB3lHOWji48R6NMMASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvDLASvD7++D++Bnx4Ky99vKy+.....jTQNQjqBAlf
So basically my question is: How to create an image based on this code?