Designing JPEG quantization tables based on human visual system |
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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 |
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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. |
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