A fast and low complicated image compression algorithm for predictor of JPEG-LS

In order to get a balance of compression quality, compression ratio and time efficiency, we exploit JPEG_LS prediction and context-based encoding, and propose another linear prediction and run length code model. And we give an innovative compression algorithm design to evaluate the performance of our proposed scheme. We present the compression results using a large number of images compared with JPEG_LS. As a result, our proposed schema obtains the same compression quality, an increasing compression speed as much as 150%-250%, at the expense of compression ratio decreasing of 20%-35%. Also our proposed algorithm has less computational complexity. So it can be included that our proposed algorithm is more suitable for real-time and embedded applications than JPEG-LS.