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.

Lossless data compression plays a vital role in addressing the growth in data volumes, real-time processing demands, and bandwidth constraints that modern systems face. Dr. Sotiropoulou will deliver ...

This paper discusses the hardware implementation of an encoder and a decoder for the QOI lossless RGB image format. Some results are given for the AMD/Xilinx architecture, reaching over 800 Mpixels/s ...

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 ...

Over the past few years there has been a remarkable progress in the quality of display devices, with 4K displays becoming the norm, and 8K and 10K displays following closely. However, this increase in ...

Common audio data formats such as the Compact Disc generally store a two-channel (stereo) audio signal. The left and fight channel data streams are stored entirely independently. Various new data ...

Brother and sister team Peter Ma and Nancy Ghaly presented Piper Pied, a lossless compression algorithm for online images, at the Disrupt NY Hackathon today. The startup is a “creative spin” on Pied ...

Lossless or lossy: If you have big data, know what type of compression to use Your email has been sent Illustration: Lisa Hornung/iStockPhoto Must-read big data coverage Why the Database Market Keeps ...