Block-based adaptive lossless image coder

With an exponential growth in the use of digital documents and photographic and medical images, the interest in lossless image compression has increased. Coders, such as CALIC and JPEG-LS, using context modeling have raised the bar on achievable compression performance. However, the computation required for these coders is significant and naturally serial. Parallelizable and compute efficient compression and decompression algorithms have attractive features such as cost effective hardware and scalable software implementations. Hence, we propose a compute friendly, parallel algorithm for image compression with compression performance comparable to that of the state-of-the-art schemes. Furthermore, we also show that the proposed method is applicable to interframe lossless coding for image sequences such as medical, graphical, and video contents.