Learn about the effects of image compression on image processing algorithms, such as face detection, edge detection, or segmentation, and how to choose the best compression method.

[Dominic Szablewski] was tinkering around with compressing RGB images, when he stumbled upon idea of how to make a simple lossless compression algorithm, resulting in the Quite OK Image Format, whi… ...

The EZW and SPIHT coding are remarkably effective image compression algorithms having the property that the bits in the compressed bit stream are generated in the order of importance yielding a fully ...

If file sizes are given limits, the human brain outperforms computers at compressing the data needed to recreate an image.

Learn about the different image compression methods for AI, and how they can improve your image-based models and systems.

Because video clips are made up of sequences of individual images, or “frames,” video compression algorithms share many concepts and techniques with still-image compression algorithms. Therefore, we ...

Google has developed a new open-source image compression algorithm that it says can reduce the size of JPEG images by 35 percent.

With the increasing development of digital image communication technology, the requirements for image quality, such as texture details, color levels, and dynamic range, are gradually increasing. This ...

Compression is another critical aspect. Different compression algorithms are used to reduce file size without significant loss in image quality. The choice of file format also influences file size.

The dictionary not only contains a fixed set of basis images (e.g., the well-known JPEG cosine images) but also all previously encoded image blocks. This method is related to text compression ...