A High-Throughput Lossless Image Compression Engine Optimized for Compression Ratio

Image compression is an essential technique for graphics processing units to support high-resolution video and high-quality 3D rendering. Many works sacrifice compression ratio (CR) or image quality in order to achieve a higher throughput or lower latency. In this paper, a lossless highthroughput compression-decompression engine optimized for CR is proposed. At the algorithm level, the engine utilizes pixel interchannel correlation and positional correlation to jointly improve CR. At the hardware level, the diagonal-level parallel decoding (DLPD) is used to obtain a high throughput (44.1 Gbytes/sec). The proposed engine is designed and validated on the JPEG AIC3 dataset. The average CR on the dataset is 2.23, an improvement of 0.35 over the state-of-the-art high-throughput work with a 24.2 % increase in throughput.