.png){kind=icon}
返回
Adaptive image coding with perceptual distortion control
.png){kind=icon}
PRE
AI
DOI：10.1109/83.988955.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a discrete cosine transform (DCT)-based locally adaptive perceptual image coder, which discriminates between image components based on their perceptual relevance for achieving increased performance in terms of quality and bit rate. The new coder uses a locally adaptive perceptual quantization scheme based on a tractable perceptual distortion metric. Our strategy is to exploit human visual masking properties by deriving visual masking thresholds in a locally adaptive fashion. The derived masking thresholds are used in controlling the quantization stage by adapting the quantizer reconstruction levels in order to meet the desired target perceptual distortion. The proposed coding scheme is flexible in that it can be easily extended to work with any subband-based decomposition in addition to block-based transform methods. Compared to existing perceptual coding methods, the proposed perceptual coding method exhibits superior performance in terms of bit rate and distortion control. Coding results are presented to illustrate the performance of the presented coding scheme.
Keyword:
image compression
locally adaptive quantization
perceptual distortion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
暂无机构信息
引用论文
分享收藏
Salivary melatonin assay in laboratory medicine--longitudinal profiles of secretion in healthy men.
OAAI
OAAI分享收藏Kinetics of Duplex Oxide Growth on 9Cr Steels Exposed in CO2: Application of Dimensional MetrologyOAAI
OAAI分享收藏The first example of catalytic synthesis of N-aryl-substituted tetraoxazaspiroalkanes.png)
Tetrahedron
TetrahedronIF0
PREAI
分享收藏
查看更多内容