Lossy compression of Bayer image with SPIHT

In order to reduce the memory requirements of the video applications, we present a lossy Bayer image compression pipeline performed better set-partitioning in hierarchical trees (SPIHT) coding as the core of the original data compression algorithm. The proposed method encodes and decodes images available in the CFA format. After finishing the image coding stage, a demosaicking stage often follows to produce a full color image. Simulation results in this paper show that: pipelines which employ a SPIHT coding scheme achieve significant compression performance improvements and relatively low artifacts compared to similar processing pipelines equipped with a JPEG coder.