enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Guetzli - Wikipedia

   en.wikipedia.org/wiki/Guetzli

   Guetzli supports only the top of JPEG's quality range (quantizer settings 84–100) [7] [8] and supports only sequential (non-"progressive") encoding. Guetzli is more effective with bigger files. [8] Google says it is a demonstration of the potential of psychovisual optimizations, intended to motivate further research into future JPEG encoders. [2]

3. JPEGmini - Wikipedia

   en.wikipedia.org/wiki/JPEGmini

   JPEGmini is a photo compression tool developed by Beamr Imaging Ltd released in 2012 for Mac and Windows. It designed to reduce the file size of images and videos with limited quality reduction. [ 1 ] [ 2 ] [ 3 ]

4. Image compression - Wikipedia

   en.wikipedia.org/wiki/Image_compression

   Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.

5. Image file format - Wikipedia

   en.wikipedia.org/wiki/Image_file_format

   The JPEG filename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a significant reduction of the file size.

6. JPEG XS - Wikipedia

   en.wikipedia.org/wiki/JPEG_XS

   JPEG XS is a light-weight compression that visually preserves the quality compared to an uncompressed stream, at a low cost, targeted at compression ratios of up to 10:1. With XS, it is for example possible to repurpose existing SDI cables to transport 4K60 over a single 3G-SDI (at 4:1), and even over a single HD-SDI (at 8:1).

7. Quantization (image processing) - Wikipedia

   en.wikipedia.org/wiki/Quantization_(image...

   Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible.