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PNGãƒ•ã‚¡ã‚¤ãƒ«çˆ†ç™ºã—ã‚ï¼
ã¾ãˆãŒã Webä¸Šã§åºƒãåˆ©ç”¨ã•ã‚Œã‚‹PNG(Porta ble Network Graphics)ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã¯ã€ãƒ‡ã‚¸ã‚¿ãƒ«ç”»åƒã‚’å¤‰åŒ–ã•ã›ãšã«å°ã•ã„ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚ºã¸å¤‰æ›ã™ã‚‹åœ§ç¸®æŠ€è¡“ã®ä¸€ç¨®ã§ã™ã€‚PNGãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã¯ã‚ªãƒªã‚¸ãƒŠãƒ«ç”»åƒã‚’å®Œå…¨å¾©å…ƒå¯èƒ½ãªå¯é€†(lossless)åœ§ç¸®ã§ã™ã‹ã‚‰ã€JPEGãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã®ã‚ˆã†ã«ç”»åƒã‚’æªã‚ã¦ã—ã¾ã†éžå¯é€†(lossy)åœ§ç¸®ã»ã©ã¯å°ã•ãã§ãã¾ã›ã‚“ã€‚ãã‚Œã§ã‚‚ã‚ªãƒªã‚¸ãƒŠãƒ«ã®ãƒ‡ã‚¸ã‚¿ãƒ«ç”»åƒãƒ‡ãƒ¼ã‚¿ã®åŠåˆ†ç¨‹åº¦ã¾ã§ã¯ã‚µã‚¤ã‚ºå‰Šæ¸›å¯èƒ½ãªç”»åƒåœ§ç¸®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¨è¨€ã‚ã‚Œã¦ã„ã¾ã™ã€‚[1] ãã’ã¶ ã„ã„ãœã€€ã¦ã‚ãˆãŒä½•ã§ã‚‚æ€ã„é€šã‚Šã«åœ§ç¸®å‡ºæ¥ã‚‹ã£ã¦ãªã‚‰ ã¾ãšã¯ãã®ãµã–ã‘ãŸå¹»æƒ³ã‚’ã¶ã¡å£Šã™!! ï¼ˆã‚¹ãƒšãƒ¼ã‚¹éƒ½åˆã«ã‚ˆã‚ŠAAçœç•¥ï¼‰ æœ¬è¨˜äº‹ã§ã¯ã€PNGãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã‚’ç”»åƒãƒ‡ãƒ¼ã‚¿åœ§ç¸®(compress)ç”¨é€”ã§åˆ©ç”¨ã™ã‚‹ã®ã§ã¯ãªãã€ã‚ªãƒªã‚¸ãƒŠãƒ«ç”»åƒãƒ‡ãƒ¼ã‚¿ã‚ˆã‚Šã‚‚é¥ã‹ã«å·¨å¤§ãªPNGãƒ•ã‚¡ã‚¤ãƒ« ã‚’ç”Ÿæˆã—ã¾ã™ã€‚ PNGãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆã§ã¯ä»»æ„
Watson 2023/04/22
image
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FLIF - Free Lossless Image Format
UPDATE FLIF development has stopped since FLIF is superseded by FUIF and then again by JPEG XL, which is based on a combination of Pik and FUIF. For more information, see Jon's JXL info page or visit the JPEG XL Discord server. FLIF - Free Lossless Image Format FLIF is a novel lossless image format which outperforms PNG, lossless WebP, lossless BPG, lossless JPEG2000, and lossless JPEG XR in terms
Watson 2020/02/07
image
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libvips
libvips A fast image processing library with low memory needs. Download Install Documentation Issues Wiki libvips projects libvips on GitHub libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL-2.1-or-later. It has around 300 operations covering arithmetic, histogra
Watson 2019/07/11
image

library
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Internal of the image processing required on the developing of web applications
Webã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®é–‹ç™ºã«ã‚ãŸã£ã¦ã¯ã€ç¾ä»£ã«ãŠã„ã¦ã¯å¤§é‡ã®ç”»åƒã‚’æ‰±ã‚ãªã„ã¨ã„ã‘ãªã„ã“ã¨ã¯æ˜Žã‚‰ã‹ã§ã‚ã‚‹ã€‚ãã®éš›ã«ã¯ã€ã‚µã‚¤ã‚ºå¤‰æ›ãƒ»ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆå¤‰æ›ãƒ»è»¢é€é‡å‰Šæ¸›ã¨ã„ã£ãŸã‚ãŸã‚Šã¯å½“ç„¶ã«å¿…è¦ã¨ãªã‚‹ã€‚å˜ç´”ã«è¦‹ãˆã¦å®Ÿã¯è½ã¨ã—ç©´ãŒã„ã£ã±ã„ãªã“ã†ã—ãŸç”»åƒå¤‰æ›ã®ä¸èº«ã«ã¤ã„ã¦ã€æŠ€è¡“çš„å´é¢ã‹ã‚‰èª¬æ˜Žã™ã‚‹ï¼ˆâ€»ãƒ‡ã‚¶ã‚¤ãƒ³ã®è©±ã¯ã—ã¾ã›ã‚“ï¼‰
Watson 2019/03/24
image
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ç”»åƒã®ãƒŽã‚¤ã‚ºã‚’è½ã¨ã—ãŸã‚Šå®¹é‡ã‚’å°ã•ãã—ãŸã‚Šã™ã‚‹ã«ã¯ã©ã®ã‚ˆã†ãªã‚³ãƒ¼ãƒ‰ã‚’æ›¸ãå¿…è¦ãŒã‚ã‚‹ã®ã‹ï¼Ÿ
æ‰‹æ›¸ãã®ãƒ¡ãƒ¢ã‚’ã‚¹ã‚ãƒ£ãƒ³ã—ã—ãŸã¨ãã«ã©ã†ã—ã¦ã‚‚ç™ºç”Ÿã—ã¦ã—ã¾ã†ãƒŽã‚¤ã‚ºã‚’å–ã‚Šé™¤ãã¨ã¨ã‚‚ã«ã€ãƒ•ã‚¡ã‚¤ãƒ«ã‚µã‚¤ã‚ºã‚‚æ¸›ã‚‰ã™æ–¹æ³•ã‚’ã€ã‚¹ãƒ¯ãƒ¼ã‚¹ãƒ¢ã‚¢å¤§å¦å‡†æ•™æŽˆã®Matt Zuckerã•ã‚“ãŒå…·ä½“çš„ã«å…¬é–‹ã—ã¦ã„ã¾ã™ã€‚ Compressing and enhancing hand-written notes https://mzucker.github.io/2016/09/20/noteshrink.html Zuckerã•ã‚“ãŒæŒã¤ã‚¯ãƒ©ã‚¹ã®ä¸ã«ã¯æ•™ç§‘æ›¸ã‚’ä½¿ç”¨ã›ãšã«è¡Œã†ã‚‚ã®ã‚‚ã‚ã‚Šã€ãã†ã—ãŸå ´åˆZuckerã•ã‚“ã¯ã€Œå¦ç”Ÿæ›¸è¨˜å®˜ã€ã‚’ä»»å‘½ã—ã¦ãƒŽãƒ¼ãƒˆã‚’å–ã£ã¦ã‚‚ã‚‰ã„ã€ã‚¹ã‚ãƒ£ãƒ³ã—ã¦ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã™ã‚‹ãã†ã§ã™ã€‚ ä¾‹ãˆã°ã€ä»¥ä¸‹ã®ç”»åƒã®ã‚ˆã†ãªãƒšãƒ¼ã‚¸ã‚’ã‚¹ã‚ãƒ£ãƒ³ã™ã‚‹å ´åˆã‚’è€ƒãˆã¦ã¿ã¾ã™ã€‚ã“ã®ç”»åƒã¯300DPIã§ã‚¹ã‚ãƒ£ãƒ³ã•ã‚Œã¦ãŠã‚Šã€ç´„7.2MBã®PNGå½¢å¼ã§ä¿å˜ã•ã‚Œã¦ã„ã¾ã™ã€‚ãã‚Œã‚’ç”»è³ª85ã§JPGã«å¤‰æ›ã™ã‚‹ã¨ç´„790KBã«ãªã‚Šã¾ã™ãŒã€1ãƒšãƒ¼ã‚¸ã§7
Watson 2018/03/30
Programming

image

algorithm
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ã‚®ã‚¬ãŒæ¸›ã‚‹ãƒãƒ£ãƒ¬ãƒ³ã‚¸ Â· GitHub
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Watson 2017/06/20
image
ãƒªãƒ³ã‚¯
ç”»åƒã‚’å¡—ã‚Šã¤ã¶ã—ãŸéƒ¨åˆ†ã«ä¸€çž¬ã§è‡ªç„¶ãªç”»åƒã‚’è£œå®Œã™ã‚‹æŠ€è¡“ã‚’æ—©ç¨²ç”°å¤§å¦ã®ç ”ç©¶è€…ãŒé–‹ç™º
æ—©ç¨²ç”°å¤§å¦ã®ç ”ç©¶è€…ãŒã€ãƒ‡ã‚£ãƒ¼ãƒ—ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯(ç•³ã¿è¾¼ã¿ãƒ‹ãƒ¥ãƒ¼ãƒ©ãƒ«ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯)ã‚’ç”¨ã„ãŸç”»åƒè£œå®ŒæŠ€è¡“ã€ŒGlobally and Locally Consistent Image Completionã€ã‚’å…¬é–‹ã—ã¾ã—ãŸã€‚æ—¢å˜ã®ç”»åƒè£œå®ŒæŠ€è¡“ã¨ã¯ãƒ¬ãƒ™ãƒ«ã®é•ã†ç²¾åº¦ã‚’è¦‹ã›ã¤ã‘ã¦ã„ã¾ã™ã€‚ é£¯å¡šé‡Œå¿— â€” ãƒ‡ã‚£ãƒ¼ãƒ—ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«ã‚ˆã‚‹ç”»åƒè£œå®Œï¼ˆSIGGRAPH 2017ï¼‰ http://hi.cs.waseda.ac.jp/~iizuka/projects/completion/ja/ SIGGRAPH 2017ã«è«–æ–‡ãŒæ£å¼ã«æŽ¡æŠžã•ã‚Œã¾ã—ãŸã€‚ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã‚ˆã£ã¦è¤‡é›‘ãªç”»åƒè£œå®Œã‚’è¡Œã†æ‰‹æ³•ã§ã™ã€‚ç”»åƒä¸ã®ä¸è¦ãªç‰©ä½“ã‚’æ¶ˆã—ãŸã‚Šã€äººã®é¡”ã‚’å¤‰åŒ–ã•ã›ãŸã‚Šã‚‚ã§ãã¾ã™ã€‚https://t.co/iHccQXmqEh pic.twitter.com/zhmVjIajcyâ€” Satoshi Iizuka (@stsiizk) 2
Watson 2017/05/02
image

science

technology
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GoogleãŒJPEGã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ãƒ¼ã€ŒGuetzliã€ã‚’ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§å…¬é–‹
by greyloch Googleè£½ã®JPEGã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ãƒ¼ã€ŒGuetzliã€ãŒGitHubã§å…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ã€‚ç”Ÿæˆã•ã‚Œã‚‹JPEGãƒ•ã‚¡ã‚¤ãƒ«ã¯libjpegã¨æ¯”è¼ƒã—ãŸã¨ãã€åŒç‰ã®å“è³ªã§ãƒ•ã‚¡ã‚¤ãƒ«ã‚µã‚¤ã‚ºãŒ20ï½ž30ï¼…ã»ã©å°ã•ããªã‚‹ã¨ã®ã“ã¨ã§ã™ã€‚ GitHub - google/guetzli https://github.com/google/guetzli ç‰¹ã«ãƒ‹ãƒ¥ãƒ¼ã‚¹ãƒªãƒªãƒ¼ã‚¹ãªã©ã¯ç™ºè¡¨ã•ã‚Œã¦ã„ãªã„ã‚ˆã†ãªã®ã§ã™ãŒã€2016å¹´10æœˆã«Encode.ruã¨ã„ã†ãƒ•ã‚©ãƒ¼ãƒ©ãƒ ã«Jyrki Alakui jalaæ°ãŒæŠ•ç¨¿ã—ãŸå†…å®¹(Googleã‚ãƒ£ãƒƒã‚·ãƒ¥)ã«ã‚ˆã‚‹ã¨ã€ã“ã®Guetzliã¯GoogleãŒæ–°ãŸãªåœ§ç¸®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã¨ã—ã¦2013å¹´ã«ç™ºè¡¨ã—ãŸã€ŒZopfliã€ãƒ©ã‚¤ã‚¯ãªã€éžå¸¸ã«é…ã„JPEGã‚¨ãƒ³ã‚³ãƒ¼ãƒ€ãƒ¼ã ã¨ã®ã“ã¨ã€‚ ç”»åƒã®å“è³ªã¨ãƒ•ã‚¡ã‚¤ãƒ«ã‚µã‚¤ã‚ºã«ã¤ã„ã¦ã€butteraugliã‚’ç”¨ã„ã¦libjpegã¨çµæžœã‚’æ¯”è¼ƒã—ãŸ
Watson 2017/01/13
google

jpeg

image

library
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yoya-thumberã®OSSå…¬é–‹ã«å¯„ã›ã¦ - SmartNews Engineering Blog
yoya-thumberã¨ã¯ SmartNewsã¯æœ¬æ—¥ã€yoya-thumberã‚’OSSã¨ã—ã¦å…¬é–‹ã—ã¾ã—ãŸã€‚yoya-thumberã¯SmartNewsç¤¾å†…ã§åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã‚µãƒ ãƒã‚¤ãƒ«ç”»åƒç”Ÿæˆãƒ—ãƒã‚ã‚·ã§ã™ã€‚HTTPã‚µãƒ¼ãƒãƒ¼ã¨ã—ã¦å‹•ä½œã—ã€ç”»åƒURLã‚’ãƒªã‚¯ã‚¨ã‚¹ãƒˆã¨ã—ã¦å—ã‘å–ã£ã¦ç¸®å°ã—ãŸç”»åƒã‚’è¿”ã—ã¾ã™ã€‚ yoya-thumberãŒè§£æ±ºã™ã‚‹èª²é¡Œ ã‚¹ãƒžãƒ¼ãƒˆãƒ‹ãƒ¥ãƒ¼ã‚¹ã«å¯¾ã—ã¦é ‚ãã”æ„è¦‹ã®1ã¤ã«ã€é€šä¿¡é‡ãŒå¤šã™ãŽã‚‹ã€ã¨ã„ã†ã‚‚ã®ãŒã‚ã‚Šã¾ã™ã€‚å®Ÿéš›ã€ç§ã‚‚1ãƒ¦ãƒ¼ã‚¶ã¨ã—ã¦ã€é€šä¿¡é‡å¤šã™ãŽã ã‚ã€å¸¸è˜çš„ã«è€ƒãˆã¦â€¦â€¦ã¨ã„ã†æ„Ÿæƒ³ã‚’æŒã£ã¦ã„ã¾ã—ãŸã€‚ ã“ã‚Œã«ã¯ã„ãã¤ã‹ã®åŽŸå› ãŒæŒ™ã’ã‚‰ã‚Œã¾ã™ãŒã€è¨˜äº‹ä¸ã®ç”»åƒãŒã‚¹ãƒžãƒ›å‘ã‘ã«æœ€é©åŒ–ã•ã‚Œã¦ã„ãªã„ï¼ˆå ´åˆãŒã‚ã‚‹ï¼‰ã€ã¨ã„ã†ã®ã‚‚å¤§ããªå•é¡Œã®1ã¤ã§ã—ãŸã€‚ä¾‹ãˆã°ã€è¦‹ã‹ã‘ä¸Šã¯å°ã•ãª1æžšã®ç”»åƒã‚’è¡¨ç¤ºã™ã‚‹ãŸã‚ã«ã€å®Ÿã¯2MBã®è»¢é€é‡ã‚’ä½¿ã£ã¦ã—ã¾ã£ã¦ã„ã‚‹ã€ã¨ã„ã£ãŸã‚±ãƒ¼ã‚¹ãŒå˜åœ¨ã—ã¦ã„ã¾ã—ãŸã€‚yoya-thumberã‚’
Watson 2016/12/29
image

go

oss
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GoogleãŒä½Žè§£åƒåº¦ç”»åƒã‚’çˆ†é€Ÿã§é«˜ç”»è³ªåŒ–ã™ã‚‹æ©Ÿæ¢°å¦ç¿’ã‚’ä½¿ã£ãŸæŠ€è¡“ã€ŒRAISRã€ã‚’ç™ºè¡¨
æ¯Žæ—¥ã‚¦ã‚§ãƒ–ä¸Šã§ã¯ç„¡æ•°ã®å†™çœŸãŒã‚·ã‚§ã‚¢ã•ã‚Œã¦ã„ã¾ã™ãŒã€ã‚¢ãƒƒãƒ—ãƒãƒ¼ãƒ‰ã•ã‚Œã‚‹å†™çœŸã®è§£åƒåº¦ã¯æ’®å½±æ©Ÿæã«ã‚ˆã£ã¦ã•ã¾ã–ã¾ã§ã€ä½Žè§£åƒåº¦ã®ç”»åƒã¯æ™‚ã«å¼•ãå»¶ã°ã•ã‚Œã¦ã‚¸ãƒ£ã‚®ãƒ¼ã¾ã¿ã‚Œã«ãªã‚‹ã“ã¨ãŒã‚ã‚Šã¾ã™ã€‚æ®ãˆç½®ãæ©Ÿãƒ»ãƒ¢ãƒã‚¤ãƒ«æ©Ÿã¨ã‚‚ã«é«˜è§£åƒåº¦ãƒ‡ã‚£ã‚¹ãƒ—ãƒ¬ã‚¤ã®æ™®åŠãŒé€²ã‚€ä¸ã§ã€ã€Œè¦‹ã‚„ã™ã„ä½Žè§£åƒåº¦ç”»åƒã€ãŒå¿…è¦ã¨ã•ã‚Œã¤ã¤ã‚ã‚‹ã®ã§ã™ãŒã€æ©Ÿæ¢°å¦ç¿’ã‚’ç”¨ã„ãŸæ–°æŠ€è¡“ã€ŒRAISR(Rapid and Accurate Image Super-Resolution)ã€ã«ã‚ˆã£ã¦ã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã§ã€Œä½Žè§£åƒåº¦ç”»åƒã®é«˜å“è³ªãƒãƒ¼ã‚¸ãƒ§ãƒ³ã€ã‚’ç”Ÿæˆã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ Research Blog: Enhance! RAISR Sharp Images with Machine Learning https://research.google blog.com/2016/11/enhance-raisr-sharp-images-with-machine.
Watson 2016/11/15
google

image

MachineLearning
ãƒªãƒ³ã‚¯
Automatic Image Colorizationãƒ»ç™½é»’ç”»åƒã®è‡ªå‹•è‰²ä»˜ã‘
Neural Network-based Automatic Image Colorization ãƒ‡ã‚£ãƒ¼ãƒ—ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã‚’ç”¨ã„ãŸç™½é»’å†™çœŸã®è‡ªå‹•è‰²ä»˜ã‘ Satoshi Iizukaé£¯å¡šé‡Œå¿—*, Edgar Simo-Serraã‚·ãƒ¢ã‚»ãƒ© ã‚¨ãƒ‰ã‚¬ãƒ¼*, Hiroshi IshikawaçŸ³å·åš (*equal contributionç†é è‘—è€…ã«ç›¸å½“) ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚µã‚¤ãƒˆ We provide a service that uses AI to automatically colorize black and white images based on "Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simult
Watson 2016/10/31
webservice

deeplearning

image
ãƒªãƒ³ã‚¯
äººå·¥çŸ¥èƒ½ã§ãƒ¢ãƒŽã‚¯ãƒç”»åƒã‚’ã‚«ãƒ©ãƒ¼åŒ–ã§ãã‚‹Webã‚µãƒ¼ãƒ“ã‚¹ã€Œsiggraph2016_colorizationã€ãŒå‡„ã™ãŽã‚‹ï¼
äººå·¥çŸ¥èƒ½ã§ãƒ¢ãƒŽã‚¯ãƒç”»åƒã‚’ã‚«ãƒ©ãƒ¼åŒ–ã§ãã‚‹Webã‚µãƒ¼ãƒ“ã‚¹ã€Œsiggraph2016_colorizationã€ãŒå‡„ã™ãŽã‚‹ï¼ SIGGRAPH 2016ã§ææ¡ˆã•ã‚Œã‚‹äºˆå®šã®ã€é£¯å¡š é‡Œå¿—æ°ã‚‰ã®ç™½é»’å†™çœŸã®è‡ªå‹•è‰²ä»˜ã‘ã®ç ”ç©¶æˆæžœãŒå…¬é–‹ã•ã‚Œã¦ã„ã¾ã™ã€‚ â‡’ [å‚è€ƒ] satoshiiizuka/siggraph2016_colorization äººå·¥çŸ¥èƒ½ã€ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚°ã®æŠ€è¡“ã‚’å¿œç”¨ã—ãŸã‚‚ã®ã§ã€ç´ æ™´ã‚‰ã—ã„æ€§èƒ½ã‚’ç™ºæ®ã—ã¾ã™ã€‚å†™çœŸã«ã‚‚ã‚ˆã‚Šã¾ã™ãŒã€ã‹ãªã‚Šãã‚Œã‚‰ã—ã„è‰²ä»˜ã‘ã‚’ã—ã¦ãã‚Œã¾ã™ã€‚ ç”»åƒå‡ºå…¸: https://github.com/satoshiiizuka/siggraph2016_colorization ãŸã ã—ã€ã“ã‚Œã¯ã™ãã«ã¯å®Ÿè¡ŒãŒã§ããªã„ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã®å½¢ã§ã®å…¬é–‹ã§ã‚ã‚‹ãŸã‚ã€é–‹ç™ºç’°å¢ƒã‚’ç”¨æ„ã—ã¦å„è‡ªã§ãƒ“ãƒ«ãƒ‰ã—ãªãã¦ã¯ãªã‚‰ãšã€ã ã‚Œã«ã§ã‚‚ä½¿ãˆã‚‹ã‚‚ã®ã§ã¯ã‚ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚ â‡’ [å‚è€ƒ] æ—©ç¨²ç”°å¤§å¦ãŒé–‹ç™ºã—ãŸäººå·¥
Watson 2016/06/07
DeepLearning

image

webservice
ãƒªãƒ³ã‚¯
GitHub - mrkn/IMF: :art: Image Manipulation Framework for Ruby
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Watson 2016/05/28
ruby

image
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Watson 2016/02/11
programming

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opencv
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Watson 2016/01/26
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Watson 2015/11/17
technology

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Watson 2015/11/13
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Microsoft
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Watson 2015/10/07
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Image diffing using CSS
Since the last post on CSS was popular here is another simple CSS trick that I found useful in the past. Letâ€™s say we want to find the difference between these two images: You can do this by simply inverting the colors and then stacking them together at 50% opacity. This can be achieved with a single CSS filter: -webkit-filter: invert(100%) opacity(50%); What you should get back is a gray image ex
Watson 2015/10/03
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diff

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FLIF - Free Lossless Image Format
UPDATE FLIF development has stopped since FLIF is superseded by FUIF and then again by JPEG XL, which is based on a combination of Pik and FUIF. For more information, see Jon's JXL info page or visit the JPEG XL Discord server. FLIF - Free Lossless Image Format FLIF is a novel lossless image format which outperforms PNG, lossless WebP, lossless BPG, lossless JPEG2000, and lossless JPEG XR in terms
Watson 2015/10/03
image

compression

format
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