Brains Beat Algorithms at Image Compression. April 11, 2019. If file sizes are given limits, the human brain outperforms computers at compressing the data needed to recreate an image.

Google has developed a new open-source image compression algorithm that it says can reduce the size of JPEG images by 35 percent. The algorithm, dubbed Guetzil (that's Swiss German for cookie), is ...

File compression is an incredible technological breakthrough that has made modern computing, streaming, and data storage ...

A compression improvement up to ~15% is also observed when natural images are scanned along a Hilbert curve instead of the normal raster order. The QOI Algorithm. QOI stands for Quite OK Image Format ...

Could Stable Diffusion have a future as a higher quality algorithm for lossy compression of images on the Internet and elsewhere? The method used by Bühlmann (for which there's a code sample ...

The photo helped engineers hone their compression algorithms, and better compression rates allowed computers to display more images — which some, like Jeff Seideman, who served as president of ...

In typical video compression algorithms, a “macro block” is a 16×16 region in the video frame that contains four 8×8 luminance blocks and the two corresponding 8×8 chrominance blocks. Adding Motion to ...

In typical video compression algorithms, a “macro block” is a 16×16 region in the video frame that contains four 8×8 luminance blocks and the two corresponding 8×8 chrominance blocks. Adding Motion to ...

Image compression, once the domain of the PC, is becoming pervasive in embedded environments. This trend is largely a result of the increased processing power and multimedia capabilities of new DSPs.