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
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;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.822921
