Abstract：Image transmission is difficult due to the large amount of data. In response to this
problem, according to the wavelet transform efficiency and universality this paper put forward a
wavelet image compression algorithm based on the threshold and the characteristics of the human
eye. In the low-frequency sub-band of the image, it puts forward a threshold retention algorithm
that uses the threshold and visual sensitivity. In the high-frequency sub-band of the image, it puts
forward an edge-preserving algorithm that uses the sub-band directional and the wavelet anglesto
reduce the redundancy in an image signal while maintaining image quality. The experimental
results show that the algorithm can achieve its goals and has advantages of low power
consumption. It has good prospects for development in the field of image compression.
王 凤， 万智萍. 基于阈值与人眼特性的小波图像压缩算法[J]. 图学学报, 2013, 34(6): 80-86.
Wang Feng, Wan Zhiping. Wavelet Image Compression Algorithm Based on Threshold and Characteristics of Human Eye. Journal of Graphics, 2013, 34(6): 80-86.