DocumentCode
1618204
Title
Designing JPEG quantization tables based on human visual system
Author
Long-Wen Chang ; Ching-Yang Wang ; Shiuh-Ming Lee
Author_Institution
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume
2
fYear
1999
Firstpage
376
Abstract
In this paper, a quantization table based on the human visual system is designed for the baseline JPEG coder. By incorporating the human visual system with the uniform quantizer, a perceptual quantization table is derived. The quantization table is easy to adapt to the specified resolution for viewing and printing. Experimental results indicate that the HVS-based quantization table can achieve improvements in PSNR about 0.2-2.0 dB without increasing the complexity in both encoder and encoder.
Keywords
image coding; quantisation (signal); JPEG coder; JPEG quantization; complexity; human visual system; perceptual quantization; Computer science; Discrete cosine transforms; Frequency conversion; Humans; Image coding; PSNR; Printing; Quantization; Transform coding; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.822921
Filename
822921
Link To Document