Just-Noticeable Difference-Based Perceptual Optimization for JPEG Compression

被引:54
作者
Zhang, Xinfeng [1 ]
Wang, Shiqi [1 ]
Gu, Ke [2 ]
Lin, Weisi [1 ]
Ma, Siwei [3 ]
Gao, Wen [3 ]
机构
[1] Nanyang Technol Univ, Rapid Rich Object Search Lab, Singapore 639798, Singapore
[2] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore
[3] Peking Univ, Sch Elect Engn & Comp Sci, Inst Digital Media, Beijing 100871, Peoples R China
基金
新加坡国家研究基金会;
关键词
Image compression; just-noticeable difference (JND); quantization table; rate-distortion;
D O I
10.1109/LSP.2016.2641456
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The Quantization table in JPEG, which specifies the quantization scale for each discrete cosine transform (DCT) coefficient, plays an important role in image codec optimization. However, the generic quantization table design that is based on the characteristics of human visual system (HVS) cannot adapt to the variations of image content. In this letter, we propose a just-noticeable difference (JND) based quantization table derivation method for JPEG by optimizing the rate-distortion costs for all the frequency bands. To achieve better perceptual quality, the DCT domain JND-based distortion metric is utilized to model the stair distortion perceived by HVS. The rate-distortion cost for each band is derived by estimating the rate with the first-order entropy of quantized coefficients. Subsequently, the optimal quantization table is obtained by minimizing the total rate-distortion costs of all the bands. Extensive experimental results show that the quantization table generated by the proposed method achieves significant bit-rate savings compared with JPEG recommended quantization table and specifically developed quantization tables in terms of both objective and subjective evaluations.
引用
收藏
页码:96 / 100
页数:5
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