A Fast-lossless Compression Using Texture Prediction and Mixed Golomb Coding
LUO Yu① ZHANG Zhenzhen②
①(Department of Basic Medicine, Shaanxi University of Chinese Medicine, Xi’an 712046, China) ②(Institute of Systems, National University of Singapore, 119077, Singapore)
Abstract：A fast-lossless compression using texture prediction and mixed golomb coding is proposed to reduce the computational complexity while keeping high compression ratio. First, the reference pixel of the current pixel is gotten by texture direction prediction, meanwhile, the pixel difference is calculated. Then, the pixel difference is entropy coded through mixed Golomb. Thus, the compression performance is improved greatly. Simulation results show that compared with lossless frame memory compression using pixel gain prediction and dynamic order entropy coding, the proposed algorithm reduce the average coding time by 36.86%. Moreover, the average compression ratio is increased slightly in the proposed algorithm.
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