首页 | 本学科首页   官方微博 | 高级检索  
     


Designing JPEG quantization tables based on human visual system
Affiliation:1. School of Computer Science and Technology, Nanjing Normal University, Nanjing, China;2. Department of Computer Science and Engineering, University of California, Riverside, USA
Abstract:In this paper, we propose a systematic procedure to design a quantization table based on the human visual system model for the baseline JPEG coder. By incorporating the human visual system model with a uniform quantizer, a perceptual quantization table is derived. The quantization table can be easily adapted to the specified resolution for viewing and printing. Experimental results indicate that the derived HVS-based quantization table can achieve better performance in rate-distortion sense than the JPEG default quantization table.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号