文档介绍：第 42 卷第 1 期电子科技大学学报
2013年1月 Journal of University of Electronic Science and Technology of China Jan. 2013

王晓
(四川理工学院计算机学院四川自贡 643000)

【摘要】,使用改进的基于DCT域的JND计算模型,同时考虑了时
空域CSF、亮度自适应调节、带内/带间掩蔽等因素,对编码过程中产生的预测残差进行JND阀值计算;在率失真计算过程中,
通过去除不可察觉的冗余系数进行主观质量优化。实验结果表明,在不影响视频主观质量的前提下,该算法明显降低了编码
产生的数据量,提高了编码效率。
关键词人眼视觉系统; JND; 率失真; 主观质量
中图分类号 TP39 文献标志码 A doi:.1001-

An Encode Mode Decision Algorithm Based on JND

WANG Xiao
(School puter Science, Sichuan University of Science & Engineering Zigong Sichuan 643000)

Abstract Classic R-D optimized algorithms, which use the objective image quality as distortion assessment
standard, do not consider the effect produced by human visual system (HVS). This paper proposes an encode
mode decision algorithm based on just-noticeable distortion (JND) model. The R-D values in coding process are
calculated by using modified DCT-based JND model, incorporating the spatio-temporal contrast sensitivity
function, luminance adaptation, and intra- and inter-band contrast masking. The redundant coefficients which can’t
be noticeable are removed to optimize the subjective quality. The simulation results show that under same
subjective quality, the proposed algorithm can obviously reduce the production of bit-rate and