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  2. Transparency (graphic) - Wikipedia

    en.wikipedia.org/wiki/Transparency_(graphic)

    This image has partial transparency (254 possible levels of transparency between fully transparent and fully opaque). It can be transparent against any background despite being anti-aliased. Some image formats, such as PNG and TIFF, also allow partial transparency through an alpha channel, which solves the edge limitation problem.

  3. Help : How to reduce colors for saving a JPEG as PNG

    en.wikipedia.org/wiki/Help:How_to_reduce_colors...

    Making an image that was incorrectly saved as JPEG fit for saving as PNG; Suppose you have a map for an island that was inadvertently saved as JPEG. Looks OK, if a bit fuzzy. 1. In your bitmap graphics editor, set your fuzzy selection ("magic wand") tool so that it only will select pixels of exactly the same color. (Here: Threshold = 0) 2.

  4. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed.

  5. Category : Images that should have transparent backgrounds

    en.wikipedia.org/wiki/Category:Images_that...

    Media in category "Images that should have transparent backgrounds" The following 105 files are in this category, out of 105 total. 111th Battle For The Bell.jpeg 370 × 208; 33 KB

  6. JPEG XL - Wikipedia

    en.wikipedia.org/wiki/JPEG_XL

    JPEG transcoding: Being a JPEG superset, JXL provides efficient lossless recompression options for images in the traditional/legacy JPEG format that can represent JPEG data in a more space-efficient way (~20% size reduction due to the better entropy coder) and can easily be reversed, e.g. on the fly. Wrapped inside a JPEG XL file/stream, it can ...

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    Lossy methods are most often used for compressing sound, images or videos. This is because these types of data are intended for human interpretation where the mind can easily "fill in the blanks" or see past very minor errors or inconsistencies – ideally lossy compression is transparent (imperceptible), which can be verified via an ABX test.