Compression algorithms for speech, audio, still images, and video are quite complicated and, more importantly, nearly always lossy. Thus, samples often change dramatically once they’re decompressed.

Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

ADCs and DACs are generating a flood of sampled data that are creating high-speed bottlenecks on busses and in networks. Part 1 of this article described the use of compression algorithms that take ...

Google has introduced a new data compression algorithm, which the company believes will make the Internet faster for all users. Known as Zopfli, the open-source algorithm is said to increase data ...

I'm working on a very large production system which needs to store many, many small segments of similar, text-like data (think alphanumeric with many similar substrings). If we gzip each segment ...

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 ...

Displays delivering quad HD or 4K resolutions at faster frame rates and support for RGB formats are becoming prevalent in high-end smartphones, automotive infotainment systems, and mixed reality ...