PDA

View Full Version : حرفه ای: encoding این عکس چیست ؟



mohammad meta
سه شنبه 01 تیر 1389, 11:54 صبح
با سلام
من یک تصویر دارم زمانی که در یک فایل xml ذخیره میشه این عکس به صورت زیر ذخیره میشه
می خام بدونم چه طوری یک عکس دیگرو به این format تبدیل کنم .
یعنی encoding این عکس را در زمان ذخیره در xml می خواهم بدونم چیه ؟




<ImageData>iVBORw0KGgoAAAANSUhEUgAAARMAAABfCAMAAAD8mtMpAAADAF BMVEUAcwsOcRojZisndjFLflOWBR+aBiGQFiipCSS8DCm1Cya1 FiyNKzexKTjDDSrLDSvUDi3MEyzHFSvUFC3aEi7TGi7bGi/dGzLcFzPNHTXiGzLhGTHhGi/cJDXQKjbkIjLqJTPtKjToKjjsMjn0OzzyMzjuLDa0cjS9XhbRW wDLWQXYaADccwPOdBXieQL3Qj7GeieOO0KzPEPXNkbsOUTwOkK RS1CwTlGUcXCvbm2icFTRTlT0SUj3U072WVTpTVP4ZVzTamz4d GrwcGzfXGYYmConlDZXpmC/gznbhhLniATslQnzmwTzmgbqmRH7pAP+rAb9rQr1owr/sgztoxj0qhX+uxz+thX9vCPusC/UlzP/wSX/wyv/xze0hk+aiXOxj220oH31hnzWqlz/zUgqTrRdb6cwY945ZthQdtZkfcF7tYVaguNrkOhdgdh+wo6uk5 GvrbLRkI/NsY365rHWyrCHmsyju/OnuunMxMPt08/X3OjTf4D39/hVguxahuxeiO0xZeM+ceksXNTc3Nzs7Oy7u7tLe+vk5ORDdeqz tLT09PRjjO0pVcoJqhgiSbYyaOeamZqRjpAkTLyjo6NIa8lXdc cImRRoeaoGrBh4m+1Hd+hRfuqJqPGbtfLDw8PLy8sMshzU1NRw is7329YRth4tX9jJ1vXa4/cvYdwQrhrl6/gmUsT///9qku4eQq3q8vOrrKx2iLfm6Ov79ev46OW2xeslR616h6kBoxWZ 1qDL1e0CiQ81aug6bul+oO8yVrrT1dvOzNFHZLj56dUDjRGVr+ 0DfA0rVcV7hJw7Y8v1z3Dxo5uutsz0148odi+mp6m8yNRwhb4Z pSslT8ABgg3ws68BkxEqWM6FpO3MtbCUpdI7bOMzXclaxWhYcL W3yfRLdNnvlI6co7QjrC97nfAfRbGCnuMkcy4cP6hiymtFmU2M
lKqRrJaNlaz8zlfw0bS7tbX3y8QBnRSwpZXP6tZoiNUgRrNWgV 1njOUUhB9ne7YtwTMmsjEZbCMXuyEPfXGRAAAZrElEQVR4XtzW RY8cSRAF4PnjWcjQzMzM3MPMzGymZWaMdO/FK2vcrupDyk+qY10+vYiMqdonGdSd+Rzn0SgzH/Xzp2miz/z5DySXgoRCp1+l0cRMKsUn/Y1YOFyvh+uLsXi/UKygGvn5CYtgklyqbE8FfndLwmRMKoV4nYrKEXWUiCxHKYoxwr F+kWwXpMw8+gKSgwBK4PzXI0GfwOygQsyIqhzndLKlfKmEP5Z1 cqpM0YxhhOOzTaInR0kmJOm0DCZAMuVOAolVkwo0RFbngYP3+T Mn7XY787PfZ+PzrHOeAxaDYeobs+S2BemiKK69sOOarG/+3RKQRRNUiRu0fMfmr3b+GLq8miYlkslEQtKeZ/z3mIWLQFkYml4EFYKD/irDip1e3zzUxJo1E/SkzsgcW7L5h1+29tOCIuo4IK8IK1p7x8aXnLgrFCVHfgMVgk1y qVzKDiZSx5pJcZGhVRDxDb1SWhHRO1yoIyS+vt8CFVi5ERW2ze sOySZ4w85tHt40LZmMSsLvBF1auoPeg4+U44xni2eddwt4/fJPlxG5s5OCpzgAPbEyOwhvkgUoibu1AiLvT0+4XaryPLxFNpu tmknoJPckFQicWzJpxgxGns9XH7u1Zf2BUor7Pk+1WvVAgt4Vc k2gJmX7uiUTdP0fiUtSHh4IPe13/PKqMRgEvUmxRnRPpi+xCTJpMiLhz4Dkg4tTX/Y3Gp+NSMg2scOO/c50T2IMIy/kq6vucVjRSaMxCP44OhAJnp1QAHbsjVmTuMFQXL7q2caD88H0B zA4R2mSSd6a2PF9cmzSpMAwlMraHMGxDmHkcyxtt9I6qpHdk1A ocGn6LW7WGVp28p5V11jjULjd90q4JYSb4NvetMkGQ1NcacuxP d4djERBgK1DuEkIejJt+rY
v0DQVYW2eVe+4ZynCIqT3JAQmcyZ7gl5SVBTeHE/wo34nvyd2+/TclDmTAkXBgr06W3JNekcgC39aNwEU6MkbUybXUBOuBI+OpkyQ o5fNfg/JZrvj2XTXDnZ3v8HZPVjrTcIE8sMDJij77cXes729i2yvhv5nU oxGoyoc9Y5hojshkH9ZN/egqK48j5vsagQVEOiGtEB3A42TiDIK8sYnMQooL4FEAY2PaZ1N MoBmFM3BaeiGCxfK5mFqRwl0oYV0ySLYgGaTbgWN6wRxsWIcIE 6N4uomtZbGR2Ayqcru99wG+nmbLZkfqfxj4b1+zvf3ON9zbtcP I2viYhFxK+NWxu+43TUlkP19OdnZW7nIyc7Jye7bP5Vk4RjfvX ugoeHAgQb609Bw9erVT4eGHrQ1tHBM/osy4dfJqZE1K+Li4lYgVq5a+4xYMmkoKyozpo7yH1M5T+1YERI SKJPJgmQhIbGxK/Gz4xBxROTGLgDJzHp38+aMTMTW7Ozsd9690e5ALC13P207gqis bKNRiZGzvgwGskL+/k0VmWDy2fMvZthjwv6AJQsJkSG4F4xdvuI2MWNCKsvKyosVVbe O5TP/GCJxcSGygJiIqKioGD+pNGB5WFhsWNhqUOHTCIhkZmzZvq16oO PFe7mb00EFWDJzDvG0t/a7x4vgaRmKi0+U4SwB8Ycj9UYHee/j0qZ2k07+bLfGggjWLCYiOio61F8mo6sWFhjPkEkmLeVgom+uq v0ZQKcdnddXUSLRNXUVjY2FjaV5MRJp2PLlYYgC+9lwpS8nZ2v Glm11pRqlUsf82DS8M4OjAsH02R2V71aWFevl9z788B5OEww4T IBeqNb37Dl2ofppE8YRk06+sc2dzpEVcSEBMdvwhprCwo4YcYB seWxsQEBsIZlg0kCZqEuqai9o2OmLZM2q2MCgiJr8QqVOxXa2q 5imPH+RCET8wyTx9nJz/66cnMzN26pLm1QcAIKB8Onm9KxMRFb6Tt
vRsOUBjK89o49gn+ffPwnXXF9eBqWPVg8M3B+o0OjGyZOvPzPq BExsXzEgsrq0B2/IdqqaXgT400XzFwf0knEmbeXl1G9svXVBM91yAlGuipP5RtY1K icXmDCFMT6SMEpFFMoQGyRPdmUDyYDGbC4mqo82U6lkZaUDirV I2o6U6z+sGShUMjoV09N/rKREoTeUG9SjvQzDqCiRcZ189sfPbOsJkEDIfts6Jr1Vohv2Dw ITLF2MknBMSBFO+Tgmj5rI9JHEyvwj65osqiOrCfWR+IeJ/CWiUCWxVsmu7HeApKfd8oDmo00pkAqYpOw8Y4HkQOWRIv3e6tL DRuhEp+EOnhRqhWLUwi9F7gCKdT0BkjVxgX6R+eZHg+yw1D8gQ CLyfn01wzFpKQYTg6KkqvWRcppInkElgeLoOuvJjxT6+UpEYSK RaEF8C7FSCRIn1+o3EGRfWmp6FmWStFNnaaIXGfbUmBka7b1/ARS5QtHc/HuTIMz6jsV+p3PHmlUh0girB7LxUolELBS4zBlmKZO7qN7Feuj k2uNptp0ra/C8gHnVGpvC2Fng5SXyhzi93T5Wmf/Gkye7tm7eUNPYbttatqSlI1JSkjd9ZAJ2+khlUbn2pIWhQb6t4 pSCU4R+M7SoJ4g/f2OZO9epkv1qrJ312xKJSODu4uQcxVAmBzgmWujk8eFpISEjQB LiG21vGGZjBCLkzgJvj9eHWROqvl2QyabcAXs21iEIBZGalLRl kgBpo/6o9lEpa4FvtKoKDUghbx5VEismVjUWSl4RKInosM6ILn+hwN3J efbseZTWjE8NhmIDZXLp/vR0giVYFeI7z/6eaViwgKaOp4dHhOm99wMJZLLN7nkIuzONKiUlOTFh34T4Dxyh ztdXdZZVifQMlmhRUORybb9JcOR/bXVCdtAe4Bdp88AuscAdRBAvGDAZUhsMBuQOdMJMO3NkgogOu9 4lifcSiSQLFni4uhaoJmTyhMok8dd1dsdnc
igtLYXWk42JW3rIuEywWTVobWZLchLXHvR6COWkkjjKHfQAZLd fjY0jMuLpPgdMZi2NpMVnxnG93sDppOqxctoykbpHojbYCXLbe wGnE1cXCMVMJhmJ6/Ptez7k3dQU1JOkpISEfUaMd8uwf1eXfGJjxHc342xfLZcP7tWw jpiMrELq+Pp1WDLtur3Sa77T7NfmhtcMNAIqmBjPOcHk3HS2O1 2rqCzF7pG99hs6G7qAhpub+5zhMxMyyaGpk8s3Pt9IS01F7oDJ FmOle4BhFVPDJ43WTNh7zbSgNJd8Bb68TPCOq+j4tKyCIeZ7we VSkZ/znPDIugqN0T2c8QCqQ+40l1Sdm858chtLEBskdM/jAUsKOCaeri5OUcZXupKD7W8mmNhXFqBlpaYadbKYo4BJqp5jU spa97XjlIm2ZLDKrCbaMCE/QCYhMmGEedFduzxA5O0+DxKhg/T4bD+kABS9HH/hyenM9mtWYDaRCubU8IntmSdl4g0myxoJJ4McmjqbNuTe5Hks2 ZmckkJ1smTJC0qhxVCMzaq85JitsLq1YEJ7pyn/2a+fTzDRTexzIJMQqd+ySUi31wYGSUWCCJNEjEyuYgbU31HISw aP3Xx5Jl2wIZA6AnfUbfvRHkaRUCbz8lgudaATlJPgXN5j+Bso KEYm2xk6nOiLi8v18uY9FTYFqEVOmVRdq32sJLy50zm+bss+6u ReeWRloFTiNS8aVaSJMZfDjG45oKjVSJ49/bqXH2GBJATlxCWPt1DHG+sJHYzOGFMnOxtMEnL55EmucH0HTIJ zaVrf1QMKmAzet2HClmsRONfHLG7O5DllMlGST62KW4Hdn68fI JFnawNl/hKviMhqSMTKqJnxuZzWbC4bHzPkpbtOHDyaIF+BSw3v31HA6cT NxXl2NEOZZGfTckJ1QniYdGaN507w+iYWTNQKQ7EeL/q4x4ZfPZc6tQ518gzvGCuT+s57ylxf6esvkfhRifQwnTZ+7Jl7
mIu5+42Doy9/wWYkNiQ2UCp2R43llZIXV08wLUYoKZOtsBoz0xM3rOe/wpKTCihgsmgh1dJprVbNTSGjts3gJ4VcO1hbe3mAMenkuTUTeK GBMqng9aj4mPjVUVGR1fkaJUvsedR7OSZqcL7X3/nSJTYWVp7UVzA/kq95ka7QBdjvUCZLaSbs34rIzEjcsIHXQyZ9xl4cHLyQNp6WPV o5HVe1e/pVtkyoTMb+tUJnnTsmJj+EhHBM5udpmhqHhxsLUUWIfd/+v3HnCFAAWvt75mWPHdYGBsYGSLFpiOZt6CQUQnFzxbgYPsEkM zN104bFT3mfeoPLnSXBixbS8k/2arXcvsbOe/4BFbb26NlHyEP+3AkMXL4cuYN31Kmon0R4zzK6S5rHK4qWitJx nB46fvHi0NCn+EFcxK3zn+oPEjCRBQQGSNF3IjR8WiMrvby9PV 04JnSKzQSSLNTYDS/4maRyTBYtiuYGlKtVWD4wkWNcteJdptC2Hn14eUBJHOVOQOBym dhXEOHYPAMT1R4jFDxLfl/lmMiDMkQ9bOE2Grj9BufluAbPHJHAAgcTwTwolb/xoMRSJj2cTjIpk02JCdt55+f9yJ0kMHnD2JsOf4UNsFyukCush dJigEwenv3TMNCZmFj3nVhZgCwIYvYrbZ+CCfmghDOq9JDlqKP O09Jm0KvVerWhuLyoqLISSOoxLpwb6MUTrsuCAmSwZdzdX/A29LUck9mzZkUaayx1F9M3Jyaub+JlQv2ThOBFb26nK0vIcVyj o/6RuvymJcYGdUnr2Fl6UcSGiWlm61pBj1eomKOYqc4Bu2HJQJI0 fe70s7xEhor33Lu3d+/eT0ZHT35QBK3gEo9a+2E1ZILRXhqEH7EQz+NtPB97oxU7zZ41l +tNnbsysmCkpSF5bqr4maDtLHrjjTx0X04ogFIFVSvet9DWmTI FLbDUprBm8h+m3GF3BCEkEHNEb+cUTNi9eAwts9TT5NVxy+c9/fk
DHfm4bF7a33/nRBG9kq+tOmdcBcZfKpVIJUIPd/5kXSvGGOs8a2Z4B8egLyOdY5KY+IJxxASp86txd4D0465lK7Ua 73xg9jvkIi4AAAldHTs6MY3yEkmQVCIWC7xfqKZggtpVZcwetU L9rYr/0glzmGF0CJWqW60vP3HCgP53TsMaC6gEAZ14+PFeqYv3oqkzc2 akpt1YLDIy0tNRUBJz+ZLnRnpqMmUSPSF/9tux2qOUilzxwWEyoZIHuGGFa6mNKmLF5DnVyauTfuwpuK5SQB F4wa+YggmD2kWFoke5qO8l/4+z/s8V1IlSNFe1ThyAjPj4iCViQHHNY/iYiDxdnWbPfK3aiIB9Ny01IzUVQtlQyPIxSUlG6rxp+tpE9e3u saNHbwGKuugg59O34COSO81f/WmAqsShTrBwYjGwiH2EXhCKYyZweaEUQLmD/PkAVKeMzylBOibdujC+xofEPmKxSCQUzOfpxoSEensaU2c8EW4 kbkzLoEwS37tiXyhP0HZQYReaeXeqflxDHTvaWiIvLqu8+OnVi 21tR2BHPhrANWdrJgizeoK47iUUUyY+Qr8m4pAJ1Hfs2rXBEpw z0kD2TBmnjUyqWlsnmJDVQi8vPEzo4VFgfw1OhXJdZ2YNUocLZ nPaprS01LS0xC3235C8Q7vOm29uM9eRquf+X88/HGsdlBfXYyagrrW6+UKHkkNiN3dMTLp8hT5iUPERClYzDpkgDl 66hvTB2oNJOXrP1EzUnE6ujTNBPPPzEgiFXmDCk6y3fWmFnTUu EwTp27gRUNKSNiXus4vxClz7JZDJgEX2E11v/qOfPzm2t/6nSnxIhO6n+NnObU3y1vPnln0HUSAUCn0kPlCKT4GKOGbCnkSP GwQUA4UytY9yGvjgzYHJuQm/t321gGPi7Wm/qpN4NOJZM18z+xJNtWXjxo0UysZNditKXyptxL+qtr4Ww55Rah qfVlRU/KGMGvl67QU65k6pEwTj5wUoPh
SKcJh1xARx+FjtrdYqZAQ97Sm7OeWIr1ZjfqPGlsmwZELnCzwQ 3h6h9lLhmciNVpPICtP6kB8SEUlJoLKTIbYyyUrZGPzGm9tgn9 ppgtixdNMvFOkHWI+4hZm6nsABFcz3EPrALRf5eBUQR0wQvX+h UKAUeFnlRd3sFEyABAPb4GQ9QZBhl/nzOSyeUTp7MqFNJ/y++euz+xI2JHBUkvZ12kB5ws1r0XW85bBbASjFYGLPXUfuIMzn WBrtMfPnewhAhZ4iFLC8TCzGIa3aUI7R4yDrmIkB7g5txbcumJ aILXChVADFtsyS68gcIHlk2TFVO4MTEhISaQp9xNo4j3Ssj67j d4kPcrrGocOJRpZPJ1/i/om5B670c3d39/D09l4AKvE294S6rp+aYIJg+2uPYhxCS+agDOmIYyZ6Tia1Jp0A ynanOU7ulIqf9RI8wwiLI6XqRksFEd3OYCOVJGsoN6CS4Deiq2 mp4NWJkYla/X4P4WPyxd87dBbn+fNcsHQeHkIw8fLnbk9NgjkVHzqsI2BigrL 76O5aY/7ge7/KbuKAyR1q4LaCookJQpXn5OzkBLG4eX9s8cU6VOIClVQ3WpcGw rwXvGSJEUqf6Q/hYKMNL0HiFDqYDM7cARS0BbTLIpvPNXV/fP58xjfffPHll28fNr/W2Dk8xwnv6I7C54lzuND4kUNdBHHq9kio6+vDTYw5E9Lef2ls7 Ggt8oeDUv/gMCG89YQmDj5senihyZwVUzBvjrMT1sHNI9R0lfBZvCcS57XIu pt2qqVqePESqpXE5KR3bnQRI5G+rGQgWViT7/DCLnmg0Bqp4H2ts/13X7/1yiuv/PLKL7+89fbv/r3xxx9/JBO3TZY5O4OLi6ubh6cnLGJv/7CwUF9vNzfX1/MqlMTEBEHY3t8+fDiGybkZCQQqR4ZAn6cXU6fvLMJcJwi2MAJQ qFbc3OILnp3q6jp0faW3G5Asrelosrfmnaxm++JgSiUpOTn13
T7EOzBhNyYsxn0uapc6iMP3SrR0U0KZlA9ZDBw/rlv3C+JV+r+/r1v39br/KZ2ci3ojcFjujLUDFoSnGw1XV6dlNU+VrPV3o+Tw492YnCkVOW ot9r5tB1uIrWYPlDVTC+f778HEKpPZwx3h9IHG58FYc/N2dXWZM7dmYJjHmyGEaaRUaAYlJackJyfTo79fb8sDwylmAtKN TckgdH0HUE5M7goR5O11//TqZHz33Xf/bLYiRDm8FFQ4LgBDw8nZ+bXIx+NXfWZY1bz+c+e/P/sQGUQvz1GxFB2/2n16sjiQltMNx4sVuJt/ln79duk3NgfvRNXTET13/HGurhTIMu5wmr8wEFapeZG7cDEKCxcb1ufSo0q7DE3v0X31wU8 fDt5qvVU1yMn6RPkRk6zZf3n7bxZhUcqIqikvfBbcrVmzJ2JuJ P182NSLLV+v/+fz359/OL4j10OWmIuO/NR28eLFB8fb4DZiHkApOXv+8m/op/sanR2HXqnJ3xYZHrF06bKI8MjIvI7SXmaKJWeZpuF923Nz1+fm 5m5/UdHYpOTXCDndcLGyrJyWtFu7H45xsgYU3MqrN33FyuoYRskoEY zxP8ssJEzT05rw8LlcLA2PrO4o1Zjdj7Vd54pzl8+ffTi2m2Lh LDj4jXQnRA0WBS2uX/31woXqAe7N7cqbfrHeU1hYOlza39ioUTLthEzt/neqmC6lsof+K1QOCJ6+WllUhuGI3ja7dOny5cvAAlUr9MUIy55 seqodviyuqWpKKxAwyTQ9WDQg4WFCqSgb75+7vPv82bExzHGtV ddKxgOIjn3y23OP6vJLccSqYx02BcKq2lWqMywh/1fOGby0EURxuP9sE1vag5cqhNlknV07MS6xmSSEtJqQwOjgqtU 5dKFYowFZBaGRHCIqWxD1suSoh1z63nbxYJMFwSJl3imQU779Q dj3vfeeJEYS8ZFf11kDEiKnqqOdcFjehl90FdzccF+AI4R5q1y GPO3+
BWO2UiqWo5OZIGAF8R96oyDodl53Oh2/CyxOT70Q0jEfPfkX2QVcreOivEmrO5jSA0iUUrayPny75z6Vu9 gTqz/DfPyryQzZfrOB4drGgoQBDKDBbHzyL1FkZjMHIREVD0cj1EMAC TvpFrkvJdjMqale4V8xibkUIFgMymbKtlUBabxYkWVY5JwzB6P SwuO/pEKzeu866MOkbLNnYPK/1DJsX+QBSbnxt4QqWG0OULDAEWrDZGVxEdd9g/EvhYS10XFIIcSJ0oXJajaXNX7Iy1JPkfGmpQ1MhHBwikYTJntG Fvrzg+DnJM1IMhVKBXWc0NIkJ2sfwTvOScfrTXZy54JSYOJZmu Rk5TOqWOok7dNk0hgTHu5rkpPNPNSu8MOEEJA3wMTtDHXJiYE+ wZTJ8+/vcH6rs800ycmXqMdo0sT5d0NSlwcLShcm5h/LdtdMUPx5bGIcNQqaMLlLCxMrfWInSCeBpzksogmT2aiRkzg0t LGXpn1+BNZPEybqGNtbqC5ubTIpJtLlNfDtujAhty6+z6C4OBs PZd1IOzzA20favBfblX4/Vrf1cb20NcOkbrfUYEQfJuTAx5mtSN0ah+rxtyt5k/rdUg8djj79E9I7Bp/dHwj0FtnrmYfzz2R9ddlYMgeDGvoKrZhsoKXcuudufLXByL2/Pjs8PKtHWoM61bCMXkUrJqjvzrtbW8WIinlxkceCJaclHHCoei BSITm6McGDDcOgeMN533colTItpcDuQGUUludRpGrIBKm0pocj 8CscxZPr+5eVai2E4y4W7nzqyQSpsObVjpcKgiCVStW84XSvFY tPbZnE6olZ+60WSK8Ms+OE6M0kNsAEKvrw7PUbRJzoRWHPBqMA AAAASUVORK5CYII=</ImageData>

vesal
سه شنبه 01 تیر 1389, 12:20 عصر
با سلام
من یک تصویر دارم زمانی که در یک فایل xml ذخیره میشه این عکس به صورت زیر ذخیره میشه
می خام بدونم چه طوری یک عکس دیگرو به این format تبدیل کنم .
یعنی encoding این عکس را در زمان ذخیره در xml می خواهم بدونم چیه ؟




<ImageData>iVBORw0KGgoAAAANSUhEUgAAARMAAABfCAMAAAD8mtMpAAADAF BMVEUAcwsOcRojZisndjFLflOWBR+aBiGQFiipCSS8DCm1Cya1 FiyNKzexKTjDDSrLDSvUDi3MEyzHFSvUFC3aEi7TGi7bGi/dGzLcFzPNHTXiGzLhGTHhGi/cJDXQKjbkIjLqJTPtKjToKjjsMjn0OzzyMzjuLDa0cjS9XhbRW wDLWQXYaADccwPOdBXieQL3Qj7GeieOO0KzPEPXNkbsOUTwOkK RS1CwTlGUcXCvbm2icFTRTlT0SUj3U072WVTpTVP4ZVzTamz4d GrwcGzfXGYYmConlDZXpmC/gznbhhLniATslQnzmwTzmgbqmRH7pAP+rAb9rQr1owr/sgztoxj0qhX+uxz+thX9vCPusC/UlzP/wSX/wyv/xze0hk+aiXOxj220oH31hnzWqlz/zUgqTrRdb6cwY945ZthQdtZkfcF7tYVaguNrkOhdgdh+wo6uk5 GvrbLRkI/NsY365rHWyrCHmsyju/OnuunMxMPt08/X3OjTf4D39/hVguxahuxeiO0xZeM+ceksXNTc3Nzs7Oy7u7tLe+vk5ORDdeqz tLT09PRjjO0pVcoJqhgiSbYyaOeamZqRjpAkTLyjo6NIa8lXdc cImRRoeaoGrBh4m+1Hd+hRfuqJqPGbtfLDw8PLy8sMshzU1NRw is7329YRth4tX9jJ1vXa4/cvYdwQrhrl6/gmUsT///9qku4eQq3q8vOrrKx2iLfm6Ov79ev46OW2xeslR616h6kBoxWZ 1qDL1e0CiQ81aug6bul+oO8yVrrT1dvOzNFHZLj56dUDjRGVr+ 0DfA0rVcV7hJw7Y8v1z3Dxo5uutsz0148odi+mp6m8yNRwhb4Z pSslT8ABgg3ws68BkxEqWM6FpO3MtbCUpdI7bOMzXclaxWhYcL W3yfRLdNnvlI6co7QjrC97nfAfRbGCnuMkcy4cP6hiymtFmU2M
lKqRrJaNlaz8zlfw0bS7tbX3y8QBnRSwpZXP6tZoiNUgRrNWgV 1njOUUhB9ne7YtwTMmsjEZbCMXuyEPfXGRAAAZrElEQVR4XtzW RY8cSRAF4PnjWcjQzMzM3MPMzGymZWaMdO/FK2vcrupDyk+qY10+vYiMqdonGdSd+Rzn0SgzH/Xzp2miz/z5DySXgoRCp1+l0cRMKsUn/Y1YOFyvh+uLsXi/UKygGvn5CYtgklyqbE8FfndLwmRMKoV4nYrKEXWUiCxHKYoxwr F+kWwXpMw8+gKSgwBK4PzXI0GfwOygQsyIqhzndLKlfKmEP5Z1 cqpM0YxhhOOzTaInR0kmJOm0DCZAMuVOAolVkwo0RFbngYP3+T Mn7XY787PfZ+PzrHOeAxaDYeobs+S2BemiKK69sOOarG/+3RKQRRNUiRu0fMfmr3b+GLq8miYlkslEQtKeZ/z3mIWLQFkYml4EFYKD/irDip1e3zzUxJo1E/SkzsgcW7L5h1+29tOCIuo4IK8IK1p7x8aXnLgrFCVHfgMVgk1y qVzKDiZSx5pJcZGhVRDxDb1SWhHRO1yoIyS+vt8CFVi5ERW2ze sOySZ4w85tHt40LZmMSsLvBF1auoPeg4+U44xni2eddwt4/fJPlxG5s5OCpzgAPbEyOwhvkgUoibu1AiLvT0+4XaryPLxFNpu tmknoJPckFQicWzJpxgxGns9XH7u1Zf2BUor7Pk+1WvVAgt4Vc k2gJmX7uiUTdP0fiUtSHh4IPe13/PKqMRgEvUmxRnRPpi+xCTJpMiLhz4Dkg4tTX/Y3Gp+NSMg2scOO/c50T2IMIy/kq6vucVjRSaMxCP44OhAJnp1QAHbsjVmTuMFQXL7q2caD88H0B zA4R2mSSd6a2PF9cmzSpMAwlMraHMGxDmHkcyxtt9I6qpHdk1A ocGn6LW7WGVp28p5V11jjULjd90q4JYSb4NvetMkGQ1NcacuxP d4djERBgK1DuEkIejJt+rY
v0DQVYW2eVe+4ZynCIqT3JAQmcyZ7gl5SVBTeHE/wo34nvyd2+/TclDmTAkXBgr06W3JNekcgC39aNwEU6MkbUybXUBOuBI+OpkyQ o5fNfg/JZrvj2XTXDnZ3v8HZPVjrTcIE8sMDJij77cXes729i2yvhv5nU oxGoyoc9Y5hojshkH9ZN/egqK48j5vsagQVEOiGtEB3A42TiDIK8sYnMQooL4FEAY2PaZ1N MoBmFM3BaeiGCxfK5mFqRwl0oYV0ySLYgGaTbgWN6wRxsWIcIE 6N4uomtZbGR2Ayqcru99wG+nmbLZkfqfxj4b1+zvf3ON9zbtcP I2viYhFxK+NWxu+43TUlkP19OdnZW7nIyc7Jye7bP5Vk4RjfvX ugoeHAgQb609Bw9erVT4eGHrQ1tHBM/osy4dfJqZE1K+Li4lYgVq5a+4xYMmkoKyozpo7yH1M5T+1YERI SKJPJgmQhIbGxK/Gz4xBxROTGLgDJzHp38+aMTMTW7Ozsd9690e5ALC13P207gqis bKNRiZGzvgwGskL+/k0VmWDy2fMvZthjwv6AJQsJkSG4F4xdvuI2MWNCKsvKyosVVbe O5TP/GCJxcSGygJiIqKioGD+pNGB5WFhsWNhqUOHTCIhkZmzZvq16oO PFe7mb00EFWDJzDvG0t/a7x4vgaRmKi0+U4SwB8Ycj9UYHee/j0qZ2k07+bLfGggjWLCYiOio61F8mo6sWFhjPkEkmLeVgom+uq v0ZQKcdnddXUSLRNXUVjY2FjaV5MRJp2PLlYYgC+9lwpS8nZ2v Glm11pRqlUsf82DS8M4OjAsH02R2V71aWFevl9z788B5OEww4T IBeqNb37Dl2ofppE8YRk06+sc2dzpEVcSEBMdvwhprCwo4YcYB seWxsQEBsIZlg0kCZqEuqai9o2OmLZM2q2MCgiJr8QqVOxXa2q 5imPH+RCET8wyTx9nJz/66cnMzN26pLm1QcAIKB8Onm9KxMRFb6Tt
vRsOUBjK89o49gn+ffPwnXXF9eBqWPVg8M3B+o0OjGyZOvPzPq BExsXzEgsrq0B2/IdqqaXgT400XzFwf0knEmbeXl1G9svXVBM91yAlGuipP5RtY1K icXmDCFMT6SMEpFFMoQGyRPdmUDyYDGbC4mqo82U6lkZaUDirV I2o6U6z+sGShUMjoV09N/rKREoTeUG9SjvQzDqCiRcZ189sfPbOsJkEDIfts6Jr1Vohv2Dw ITLF2MknBMSBFO+Tgmj5rI9JHEyvwj65osqiOrCfWR+IeJ/CWiUCWxVsmu7HeApKfd8oDmo00pkAqYpOw8Y4HkQOWRIv3e6tL DRuhEp+EOnhRqhWLUwi9F7gCKdT0BkjVxgX6R+eZHg+yw1D8gQ CLyfn01wzFpKQYTg6KkqvWRcppInkElgeLoOuvJjxT6+UpEYSK RaEF8C7FSCRIn1+o3EGRfWmp6FmWStFNnaaIXGfbUmBka7b1/ARS5QtHc/HuTIMz6jsV+p3PHmlUh0girB7LxUolELBS4zBlmKZO7qN7Feuj k2uNptp0ra/C8gHnVGpvC2Fng5SXyhzi93T5Wmf/Gkye7tm7eUNPYbttatqSlI1JSkjd9ZAJ2+khlUbn2pIWhQb6t4 pSCU4R+M7SoJ4g/f2OZO9epkv1qrJ312xKJSODu4uQcxVAmBzgmWujk8eFpISEjQB LiG21vGGZjBCLkzgJvj9eHWROqvl2QyabcAXs21iEIBZGalLRl kgBpo/6o9lEpa4FvtKoKDUghbx5VEismVjUWSl4RKInosM6ILn+hwN3J efbseZTWjE8NhmIDZXLp/vR0giVYFeI7z/6eaViwgKaOp4dHhOm99wMJZLLN7nkIuzONKiUlOTFh34T4Dxyh ztdXdZZVifQMlmhRUORybb9JcOR/bXVCdtAe4Bdp88AuscAdRBAvGDAZUhsMBuQOdMJMO3NkgogOu9 4lifcSiSQLFni4uhaoJmTyhMok8dd1dsdnc
igtLYXWk42JW3rIuEywWTVobWZLchLXHvR6COWkkjjKHfQAZLd fjY0jMuLpPgdMZi2NpMVnxnG93sDppOqxctoykbpHojbYCXLbe wGnE1cXCMVMJhmJ6/Ptez7k3dQU1JOkpISEfUaMd8uwf1eXfGJjxHc342xfLZcP7tWw jpiMrELq+Pp1WDLtur3Sa77T7NfmhtcMNAIqmBjPOcHk3HS2O1 2rqCzF7pG99hs6G7qAhpub+5zhMxMyyaGpk8s3Pt9IS01F7oDJ FmOle4BhFVPDJ43WTNh7zbSgNJd8Bb68TPCOq+j4tKyCIeZ7we VSkZ/znPDIugqN0T2c8QCqQ+40l1Sdm858chtLEBskdM/jAUsKOCaeri5OUcZXupKD7W8mmNhXFqBlpaYadbKYo4BJqp5jU spa97XjlIm2ZLDKrCbaMCE/QCYhMmGEedFduzxA5O0+DxKhg/T4bD+kABS9HH/hyenM9mtWYDaRCubU8IntmSdl4g0myxoJJ4McmjqbNuTe5Hks2 ZmckkJ1smTJC0qhxVCMzaq85JitsLq1YEJ7pyn/2a+fTzDRTexzIJMQqd+ySUi31wYGSUWCCJNEjEyuYgbU31HISw aP3Xx5Jl2wIZA6AnfUbfvRHkaRUCbz8lgudaATlJPgXN5j+Bso KEYm2xk6nOiLi8v18uY9FTYFqEVOmVRdq32sJLy50zm+bss+6u ReeWRloFTiNS8aVaSJMZfDjG45oKjVSJ49/bqXH2GBJATlxCWPt1DHG+sJHYzOGFMnOxtMEnL55EmucH0HTIJ zaVrf1QMKmAzet2HClmsRONfHLG7O5DllMlGST62KW4Hdn68fI JFnawNl/hKviMhqSMTKqJnxuZzWbC4bHzPkpbtOHDyaIF+BSw3v31HA6cT NxXl2NEOZZGfTckJ1QniYdGaN507w+iYWTNQKQ7EeL/q4x4ZfPZc6tQ518gzvGCuT+s57ylxf6esvkfhRifQwnTZ+7Jl7
mIu5+42Doy9/wWYkNiQ2UCp2R43llZIXV08wLUYoKZOtsBoz0xM3rOe/wpKTCihgsmgh1dJprVbNTSGjts3gJ4VcO1hbe3mAMenkuTUTeK GBMqng9aj4mPjVUVGR1fkaJUvsedR7OSZqcL7X3/nSJTYWVp7UVzA/kq95ka7QBdjvUCZLaSbs34rIzEjcsIHXQyZ9xl4cHLyQNp6WPV o5HVe1e/pVtkyoTMb+tUJnnTsmJj+EhHBM5udpmhqHhxsLUUWIfd/+v3HnCFAAWvt75mWPHdYGBsYGSLFpiOZt6CQUQnFzxbgYPsEkM zN104bFT3mfeoPLnSXBixbS8k/2arXcvsbOe/4BFbb26NlHyEP+3AkMXL4cuYN31Kmon0R4zzK6S5rHK4qWitJx nB46fvHi0NCn+EFcxK3zn+oPEjCRBQQGSNF3IjR8WiMrvby9PV 04JnSKzQSSLNTYDS/4maRyTBYtiuYGlKtVWD4wkWNcteJdptC2Hn14eUBJHOVOQOBym dhXEOHYPAMT1R4jFDxLfl/lmMiDMkQ9bOE2Grj9BufluAbPHJHAAgcTwTwolb/xoMRSJj2cTjIpk02JCdt55+f9yJ0kMHnD2JsOf4UNsFyukCush dJigEwenv3TMNCZmFj3nVhZgCwIYvYrbZ+CCfmghDOq9JDlqKP O09Jm0KvVerWhuLyoqLISSOoxLpwb6MUTrsuCAmSwZdzdX/A29LUck9mzZkUaayx1F9M3Jyaub+JlQv2ThOBFb26nK0vIcVyj o/6RuvymJcYGdUnr2Fl6UcSGiWlm61pBj1eomKOYqc4Bu2HJQJI0 fe70s7xEhor33Lu3d+/eT0ZHT35QBK3gEo9a+2E1ZILRXhqEH7EQz+NtPB97oxU7zZ41l +tNnbsysmCkpSF5bqr4maDtLHrjjTx0X04ogFIFVSvet9DWmTI FLbDUprBm8h+m3GF3BCEkEHNEb+cUTNi9eAwts9TT5NVxy+c9/fk
DHfm4bF7a33/nRBG9kq+tOmdcBcZfKpVIJUIPd/5kXSvGGOs8a2Z4B8egLyOdY5KY+IJxxASp86txd4D0465lK7Ua 73xg9jvkIi4AAAldHTs6MY3yEkmQVCIWC7xfqKZggtpVZcwetU L9rYr/0glzmGF0CJWqW60vP3HCgP53TsMaC6gEAZ14+PFeqYv3oqkzc2 akpt1YLDIy0tNRUBJz+ZLnRnpqMmUSPSF/9tux2qOUilzxwWEyoZIHuGGFa6mNKmLF5DnVyauTfuwpuK5SQB F4wa+YggmD2kWFoke5qO8l/4+z/s8V1IlSNFe1ThyAjPj4iCViQHHNY/iYiDxdnWbPfK3aiIB9Ny01IzUVQtlQyPIxSUlG6rxp+tpE9e3u saNHbwGKuugg59O34COSO81f/WmAqsShTrBwYjGwiH2EXhCKYyZweaEUQLmD/PkAVKeMzylBOibdujC+xofEPmKxSCQUzOfpxoSEensaU2c8EW4 kbkzLoEwS37tiXyhP0HZQYReaeXeqflxDHTvaWiIvLqu8+OnVi 21tR2BHPhrANWdrJgizeoK47iUUUyY+Qr8m4pAJ1Hfs2rXBEpw z0kD2TBmnjUyqWlsnmJDVQi8vPEzo4VFgfw1OhXJdZ2YNUocLZ nPaprS01LS0xC3235C8Q7vOm29uM9eRquf+X88/HGsdlBfXYyagrrW6+UKHkkNiN3dMTLp8hT5iUPERClYzDpkgDl 66hvTB2oNJOXrP1EzUnE6ujTNBPPPzEgiFXmDCk6y3fWmFnTUu EwTp27gRUNKSNiXus4vxClz7JZDJgEX2E11v/qOfPzm2t/6nSnxIhO6n+NnObU3y1vPnln0HUSAUCn0kPlCKT4GKOGbCnkSP GwQUA4UytY9yGvjgzYHJuQm/t321gGPi7Wm/qpN4NOJZM18z+xJNtWXjxo0UysZNditKXyptxL+qtr4Ww55Rah qfVlRU/KGMGvl67QU65k6pEwTj5wUoPh
SKcJh1xARx+FjtrdYqZAQ97Sm7OeWIr1ZjfqPGlsmwZELnCzwQ 3h6h9lLhmciNVpPICtP6kB8SEUlJoLKTIbYyyUrZGPzGm9tgn9 ppgtixdNMvFOkHWI+4hZm6nsABFcz3EPrALRf5eBUQR0wQvX+h UKAUeFnlRd3sFEyABAPb4GQ9QZBhl/nzOSyeUTp7MqFNJ/y++euz+xI2JHBUkvZ12kB5ws1r0XW85bBbASjFYGLPXUfuIMzn WBrtMfPnewhAhZ4iFLC8TCzGIa3aUI7R4yDrmIkB7g5txbcumJ aILXChVADFtsyS68gcIHlk2TFVO4MTEhISaQp9xNo4j3Ssj67j d4kPcrrGocOJRpZPJ1/i/om5B670c3d39/D09l4AKvE294S6rp+aYIJg+2uPYhxCS+agDOmIYyZ6Tia1Jp0A ynanOU7ulIqf9RI8wwiLI6XqRksFEd3OYCOVJGsoN6CS4Deiq2 mp4NWJkYla/X4P4WPyxd87dBbn+fNcsHQeHkIw8fLnbk9NgjkVHzqsI2BigrL 76O5aY/7ge7/KbuKAyR1q4LaCookJQpXn5OzkBLG4eX9s8cU6VOIClVQ3WpcGw rwXvGSJEUqf6Q/hYKMNL0HiFDqYDM7cARS0BbTLIpvPNXV/fP58xjfffPHll28fNr/W2Dk8xwnv6I7C54lzuND4kUNdBHHq9kio6+vDTYw5E9Lef2ls7 Ggt8oeDUv/gMCG89YQmDj5senihyZwVUzBvjrMT1sHNI9R0lfBZvCcS57XIu pt2qqVqePESqpXE5KR3bnQRI5G+rGQgWViT7/DCLnmg0Bqp4H2ts/13X7/1yiuv/PLKL7+89fbv/r3xxx9/JBO3TZY5O4OLi6ubh6cnLGJv/7CwUF9vNzfX1/MqlMTEBEHY3t8+fDiGybkZCQQqR4ZAn6cXU6fvLMJcJwi2MAJQ qFbc3OILnp3q6jp0faW3G5Asrelosrfmnaxm++JgSiUpOTn13
T7EOzBhNyYsxn0uapc6iMP3SrR0U0KZlA9ZDBw/rlv3C+JV+r+/r1v39br/KZ2ci3ojcFjujLUDFoSnGw1XV6dlNU+VrPV3o+Tw492YnCkVOW ot9r5tB1uIrWYPlDVTC+f778HEKpPZwx3h9IHG58FYc/N2dXWZM7dmYJjHmyGEaaRUaAYlJackJyfTo79fb8sDwylmAtKN TckgdH0HUE5M7goR5O11//TqZHz33Xf/bLYiRDm8FFQ4LgBDw8nZ+bXIx+NXfWZY1bz+c+e/P/sQGUQvz1GxFB2/2n16sjiQltMNx4sVuJt/ln79duk3NgfvRNXTET13/HGurhTIMu5wmr8wEFapeZG7cDEKCxcb1ufSo0q7DE3v0X31wU8 fDt5qvVU1yMn6RPkRk6zZf3n7bxZhUcqIqikvfBbcrVmzJ2JuJ P182NSLLV+v/+fz359/OL4j10OWmIuO/NR28eLFB8fb4DZiHkApOXv+8m/op/sanR2HXqnJ3xYZHrF06bKI8MjIvI7SXmaKJWeZpuF923Nz1+fm 5m5/UdHYpOTXCDndcLGyrJyWtFu7H45xsgYU3MqrN33FyuoYRskoEY zxP8ssJEzT05rw8LlcLA2PrO4o1Zjdj7Vd54pzl8+ffTi2m2Lh LDj4jXQnRA0WBS2uX/31woXqAe7N7cqbfrHeU1hYOlza39ioUTLthEzt/neqmC6lsof+K1QOCJ6+WllUhuGI3ja7dOny5cvAAlUr9MUIy55 seqodviyuqWpKKxAwyTQ9WDQg4WFCqSgb75+7vPv82bExzHGtV ddKxgOIjn3y23OP6vJLccSqYx02BcKq2lWqMywh/1fOGby0EURxuP9sE1vag5cqhNlknV07MS6xmSSEtJqQwOjgqtU 5dKFYowFZBaGRHCIqWxD1suSoh1z63nbxYJMFwSJl3imQU779Q dj3vfeeJEYS8ZFf11kDEiKnqqOdcFjehl90FdzccF+AI4R5q1y GPO3+
BWO2UiqWo5OZIGAF8R96oyDodl53Oh2/CyxOT70Q0jEfPfkX2QVcreOivEmrO5jSA0iUUrayPny75z6Vu9 gTqz/DfPyryQzZfrOB4drGgoQBDKDBbHzyL1FkZjMHIREVD0cj1EMAC TvpFrkvJdjMqale4V8xibkUIFgMymbKtlUBabxYkWVY5JwzB6P SwuO/pEKzeu866MOkbLNnYPK/1DJsX+QBSbnxt4QqWG0OULDAEWrDZGVxEdd9g/EvhYS10XFIIcSJ0oXJajaXNX7Iy1JPkfGmpQ1MhHBwikYTJntG Fvrzg+DnJM1IMhVKBXWc0NIkJ2sfwTvOScfrTXZy54JSYOJZmu Rk5TOqWOok7dNk0hgTHu5rkpPNPNSu8MOEEJA3wMTtDHXJiYE+ wZTJ8+/vcH6rs800ycmXqMdo0sT5d0NSlwcLShcm5h/LdtdMUPx5bGIcNQqaMLlLCxMrfWInSCeBpzksogmT2aiRkzg0t LGXpn1+BNZPEybqGNtbqC5ubTIpJtLlNfDtujAhty6+z6C4OBs PZd1IOzzA20favBfblX4/Vrf1cb20NcOkbrfUYEQfJuTAx5mtSN0ah+rxtyt5k/rdUg8djj79E9I7Bp/dHwj0FtnrmYfzz2R9ddlYMgeDGvoKrZhsoKXcuudufLXByL2/Pjs8PKtHWoM61bCMXkUrJqjvzrtbW8WIinlxkceCJaclHHCoei BSITm6McGDDcOgeMN533colTItpcDuQGUUludRpGrIBKm0pocj 8CscxZPr+5eVai2E4y4W7nzqyQSpsObVjpcKgiCVStW84XSvFY tPbZnE6olZ+60WSK8Ms+OE6M0kNsAEKvrw7PUbRJzoRWHPBqMA AAAASUVORK5CYII=</ImageData>



http://www.codeproject.com/KB/cs/lookchanger.aspx

mehdi.mousavi
سه شنبه 01 تیر 1389, 12:35 عصر
با سلام من یک تصویر دارم زمانی که در یک فایل xml ذخیره میشه این عکس به صورت زیر ذخیره میشه می خام بدونم چه طوری یک عکس دیگرو به این format تبدیل کنم . یعنی encoding این عکس را در زمان ذخیره در xml می خواهم بدونم چیه ؟

سلام.
به این Encoding میگن Base 64... برای تبدیل یه byte array به base64 میتونید بدین شکل عمل کنید:

Convert.ToBase64String(myarray);

حالا اون myarray میتونه داده های یک تصویر باشه، صدای Vuvuzila تو استادیوم باشه و ... :لبخندساده:

موفق باشید.