An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System
YAO Juncai①② LIU Guizhong①
①(The School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China) ②(The School of Physics and Telecommunication Engineering, Shaanxi University of Technology, Hanzhong 723000, China)
In order to improve the compression ratio and quality of the image, combined with the contrast sensitivity characteristics of human vision system and the spectrum characteristics of image in the transform domain, a method is proposed to form the adaptive quantization table in image compression. And according to the JPEG coding algorithm and replacing the quantization table in JPEG, simulations are carried out for three images by programming, whose results are compared with JPEG compression at the same time. The results show that: compared with JPEG compression, under the same compression ratio, average SSIM and PSNR of three decompressed images increase by 1.67% and 4.96% after being compressed using adaptive quantization, respectively. They show that the adaptive quantization based on HVS is a good and practical method.
姚军财,刘贵忠. 一种基于人眼对比度敏感视觉特性的图像自适应量化方法[J]. 电子与信息学报, 2016, 38(5): 1202-1210.
YAO Juncai, LIU Guizhong. An Adaptive Quantization Method of Image Based on the Contrast Sensitivity Characteristics of Human Visual System. JEIT, 2016, 38(5): 1202-1210.
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