A Hybrid Image Compression Algorithm Based on Human Visual System
In this paper, we present an efficient hybrid image compression method. According to Human eye sensitivity, It is not sensitive to gray-scale error, but the human eye is particularly sensitive to the image edge features, through we research strengths and weaknesses of the fractal image coding and SPIHT(set partitioning in hierarchical trees) algorithm, proposed a hybrid algorithm based on SP1HT and Fractal image compression algorithm, it makes full use of landscape features and human visual characteristics, the image is decompounded into low frequency sub-band and high frequency sub-band, then the low frequency sub-band is uses fractal coding, this could make the low-frequency information loss less who is sensitivity to human visual signal and the high frequency sub-band is uses SPIHT coding, so encoding time greatly reduced. Experimental results show that the Hybrid Image Compression Algorithm not only raises the coding efficiency and reconstructed image quality but also reduces the image encoding time.
SPIHT fractalcoding HVS DCT DWT
Chunlei Jiang Shuxin Yin
Electrical and Information Engineering College Northeast Petroleum University Daqing, Heilongjiang P College of Information Technology Heilongjiang August First Land Reclamation University Daqing, Heil
国际会议
太原
英文
170-173
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）