The phrase “IoT” for Internet of Things has exploded to cover a wide range of different applications and diverse devices with very different requirements. Most observers, however, would agree that low energy consumption is a key element for IoT, as...

Lossless compression via hardware GZIP iP can reduce connectivity and energy requirements for IoT and other Internet devices.

In the video world, latency is the amount of time between the instant a frame is captured and the instant that frame is displayed. Low latency is a design goal for any system where there is real-time interaction with the video content, such as video...

A paper, slides, and presentation video discussing how lossless data compression—with CAST's ZipAccel GZIP IP cores—can save significant energy in IOT applications.

Discusses the hardware implementations of QOI (Quite Okay Image) lossless compression encoder and decoder IP cores. Provides sample results, and describes a further compression improvement using the Hilbert curve.

White paper comparing the compression efficiency of JPEG-LS, JPEG2000, PNG, and QOI lossless compression algorithms.

Among lossless data compression algorithms, GZIP, ZSTD, LZ4, and Snappy have emerged as prominent contenders, each offering unique trade-offs in terms of compression ratio, speed, and resource utilization. This white paper evaluates these algorithms...