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  2. WebP - Wikipedia

    en.wikipedia.org/wiki/WebP

    WebP is a raster graphics file format developed by Google intended as a replacement for JPEG, PNG, and GIF file formats. It supports both lossy and lossless compression, [8] as well as animation and alpha transparency. Google announced the WebP format in September 2010, and released the first stable version of its supporting library in April ...

  3. Comparison of graphics file formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_graphics...

    WebP: WebP image format Google.webp image/webp General purpose ... JPEG, and PNG Raster 16 bpc Yes Yes No No No No No Yes No No No BPG: HEVC, Lossy and lossless

  4. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    WebP is an open image format released in 2010 that uses both lossless and lossy compression. It was designed by Google to reduce image file size to speed up web page loading: its principal purpose is to supersede JPEG as the primary format for photographs on the web. WebP is based on VP8's intra-frame coding and uses a container based on RIFF.

  5. Comparison of image viewers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_image_viewers

    Add Text, crop, cut/copy selected area, paste-Into selected area, paste from print screen, resize/resample, rotate, flip vertically/horizontally, JPEG lossless transformations, color adjustments, change color depth, greyscale, red-eye reduction, sharpen, effects/filters, own and 8bf (Photoshop) plugins compatibility, edit IPTC info, move, copy ...

  6. Exif - Wikipedia

    en.wikipedia.org/wiki/Exif

    Exchangeable image file format (officially Exif, according to JEIDA/JEITA/CIPA specifications) [5] is a standard that specifies formats for images, sound, and ancillary tags used by digital cameras (including smartphones), scanners and other systems handling image and sound files recorded by digital cameras.

  7. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images.. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifa