{"id":41842,"date":"2020-02-17T05:33:02","date_gmt":"2020-02-17T02:33:02","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/novyj-proekt-dlya-udaleniya-artefaktov-iz-jpeg"},"modified":"2020-02-17T05:33:02","modified_gmt":"2020-02-17T02:33:02","slug":"novyj-proekt-dlya-udaleniya-artefaktov-iz-jpeg","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/novyj-proekt-dlya-udaleniya-artefaktov-iz-jpeg","title":{"rendered":"Un nuovo progetto per la rimozione di artefatti da JPEG","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>\u00c8 stato pubblicato un progetto su GitHub <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/ilyakurdyukov\/jpeg-quantsmooth\">JPEG Quant Smooth<\/a><\/noindex>, progettato per rimuovere artefatti di compressione dalle immagini JPEG. Questo viene realizzato ripristinando la precisione dei coefficienti della trasformata discreta del coseno. Tuttavia, nei limiti consentiti dalla tabella di quantizzazione, ci\u00f2 non consente all'algoritmo di rifiltrare l'immagine. Il codice \u00e8 scritto in C con ottimizzazioni per SSE2, AVX2 e ARM Neon. Inoltre <noindex><a rel=\"nofollow\" href=\"https:\/\/ilyakurdyukov.github.io\/jpeg-quantsmooth\/\">\u00e8 disponibile<\/a><\/noindex> \u00e8 disponibile una versione WebAssembly che consente di elaborare immagini nel browser (ma pi\u00f9 lenta della versione nativa a causa della mancanza di ottimizzazioni SIMD e multi-threading).<\/p>\n<p>Secondo quanto afferma l'autore, il suo algoritmo \u00e8 significativamente pi\u00f9 veloce di un progetto simile <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/victorvde\/jpeg2png\">jpeg2png<\/a><\/noindex> e produce immagini pi\u00f9 nitide. Tuttavia, l'autore ammette che jpeg2png pu\u00f2 funzionare meglio in casi complessi. Un altro progetto, <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/google\/knusperli\">knusperli<\/a><\/noindex>, pubblicato sotto l'account Google \u2014 che dovrebbe anche rimuovere gli artefatti JPEG, secondo l'autore \u00abnon serve a nulla\u00bb e \u00ab\u00e8 difficile notare miglioramenti dal suo lavoro\u00bb.<\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/camo.githubusercontent.com\/47649c97a04ea69b4e8375267ce984ae46bce530\/68747470733a2f2f696c79616b75726479756b6f762e6769746875622e696f2f6a7065672d7175616e74736d6f6f74682f696d616765732f6c656e615f6a70672e706e67\"><img decoding=\"async\" alt=\"Un nuovo progetto per la rimozione di artefatti da JPEG\" src=\"\/wp-content\/uploads\/2020\/02\/798f4b2900c9ab0de40f58ee0a463d8b.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><noindex><a rel=\"nofollow\" href=\"https:\/\/camo.githubusercontent.com\/e33956c61360cbd519f1cb26841bd672e434e772\/68747470733a2f2f696c79616b75726479756b6f762e6769746875622e696f2f6a7065672d7175616e74736d6f6f74682f696d616765732f6c656e615f6e65772e706e67\"><img decoding=\"async\" alt=\"Un nuovo progetto per la rimozione di artefatti da JPEG\" src=\"\/wp-content\/uploads\/2020\/02\/4cc8d57836cbc66a01931027b83c74a7.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p><center><noindex><a rel=\"nofollow\" href=\"https:\/\/camo.githubusercontent.com\/a6abd4bad74d17c7ae801d4110f54801accca772\/68747470733a2f2f696c79616b75726479756b6f762e6769746875622e696f2f6a7065672d7175616e74736d6f6f74682f696d616765732f746578745f6a70672e706e67\"><img decoding=\"async\" alt=\"Un nuovo progetto per la rimozione di artefatti da JPEG\" src=\"\/wp-content\/uploads\/2020\/02\/0c53a2f1cdff2edaef57a0ad99dc7419.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><noindex><a rel=\"nofollow\" href=\"https:\/\/camo.githubusercontent.com\/23d8223b7209d8c0ba1a2960822b293b1de064e2\/68747470733a2f2f696c79616b75726479756b6f762e6769746875622e696f2f6a7065672d7175616e74736d6f6f74682f696d616765732f746578745f6e65772e706e67\"><img decoding=\"async\" alt=\"Un nuovo progetto per la rimozione di artefatti da JPEG\" src=\"\/wp-content\/uploads\/2020\/02\/275353bfd1209875259866d2346bdbb2.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/a><\/noindex><\/center><\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Fonte: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52368\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041d\u0430 GitHub \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043f\u0440\u043e\u0435\u043a\u0442 JPEG Quant Smooth, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \u0430\u0440\u0442\u0435\u0444\u0430\u043a\u0442\u043e\u0432 \u0441\u0436\u0430\u0442\u0438\u044f \u0438\u0437 JPEG-\u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439. \u042d\u0442\u043e \u0434\u043e\u0441\u0442\u0438\u0433\u0430\u0435\u0442\u0441\u044f \u0437\u0430 \u0441\u0447\u0451\u0442 \u0432\u043e\u0441\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u043a\u043e\u044d\u0444\u0444\u0438\u0446\u0438\u0435\u043d\u0442\u043e\u0432 \u0434\u0438\u0441\u043a\u0440\u0435\u0442\u043d\u043e\u0433\u043e \u043a\u043e\u0441\u0438\u043d\u0443\u0441 \u043f\u0440\u0435\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u044f. \u041d\u043e \u0432 \u0442\u0435\u0445 \u043f\u0440\u0435\u0434\u0435\u043b\u0430\u0445, \u0447\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u043a\u0432\u0430\u043d\u0442\u0438\u0437\u0430\u0446\u0438\u0438, \u044d\u0442\u043e \u043d\u0435 \u0434\u0430\u0451\u0442 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0443 \u043f\u0435\u0440\u0435\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435. \u041a\u043e\u0434 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u0421\u0438 \u0441 \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u044f\u043c\u0438 \u0434\u043b\u044f SSE2, AVX2 \u0438 ARM Neon. \u0422\u0430\u043a\u0436\u0435 \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430 WebAssembly-\u0432\u0435\u0440\u0441\u0438\u044f, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":41843,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-41842","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.0.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041d\u0430 GitHub \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043f\u0440\u043e\u0435\u043a\u0442 JPEG Quant Smooth, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u044b\u0439 \u0434\u043b\u044f \u0443\u0434\u0430\u043b\u0435\u043d\u0438\u044f \u0430\u0440\u0442\u0435\u0444\u0430\u043a\u0442\u043e\u0432 \u0441\u0436\u0430\u0442\u0438\u044f \u0438\u0437 JPEG-\u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.\" 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