Search Results for "linux image"

Compressor.js is a lightweight JavaScript library for in-browser image compression that allows developers to reduce file sizes before uploading images to a server, improving performance and user experience. It works by taking an input image (such as from a file input) and resizing or reencoding it on the client side according to developer-specified options like maximum width, height, quality, and MIME type. Because compression happens in the browser, users upload smaller images without...

OptiPNG is a PNG optimizer that recompresses image files to a smaller size, without losing any information. This program also converts external formats (BMP, GIF, PNM and TIFF) to optimized PNG, and performs PNG integrity checks and corrections.

The littleutils include duplicate file finders (repeats, repeats.pl, repeats.py), image optimizers (opt-jpg, opt-png, opt-gif, recomp-jpg), file rename tools (lowercase, uppercase, pren), archive recompressors (to-gzip, to-bzip2, to-bzip3, to-7zip, to-lzma, to-lzip, to-xz), a tempfile utility (tempname), file property tools (filedate, filemode, filenode, fileown, filesize, and lrealpath), and others. See the README file for more details.

The jbig2dec project is no longer hosted here. Please see: https://www.ghostscript.com JBIG2 is a compression format for lossless and lossy encoding of scanned monochrome documents at moderately high resolution. It is very efficient in that domain, claiming 100:1 compression. jbig2dec is a decoder-only implementation of the format.

pngcrush and other tools for manipulating PNG (Portable Network Graphics) and MNG (Multiple-image Network Graphics) files.

CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne

PyramidWorkshop is an image-compression System based upon the scientific work of John Robinson (inventor of BTPC) about image-compression with adaptive linear predictors and is in average more efficient than PNG/JPEG2000.