.png){kind=icon}
返回
Coding artifact reduction based on local entropy analysis
.png){kind=icon}
PRE
AI
DOI：10.1109/TCE.2007.381747.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Coding artifacts are very annoying in highly compressed images and video sequences. Most artifact reduction techniques blur the details of the images while removing various coding artifacts. In this paper, we propose a novel and explicit approach for classifying blocks into detailed regions, intermediate regions and smooth regions. The classification is based on the information content of the underlying region. The information content of a region is quantized by local entropy, which is calculated on the PDF of the pixel intensity distribution. Local entropy is used as an indicator of how much smoothing is needed for a certain region. It is well known that blocking artifacts are more visible in flat regions than in detailed regions. We apply mild low-pass filters on detailed regions to preserve the sharpness, and strong low-pass filters on flat regions to remove the severe blocking artifacts. Experimental results show that our proposed algorithm can preserve the details and reduce coding artifacts better than more expensive state of the art techniques'.
Keyword:
coding artifact reduction
entropy
blocking artifacts
adaptive filter
期刊
IF:
10.9
论文数:
5.3K
被引数:
6.8K
机构
暂无机构信息
引用论文
Sustained Virologic Response and Costs Associated with Direct-Acting Antivirals for Chronic Hepatitis C Infection in Oklahoma Medicaid慢性丙型肝炎感染中直接抗病毒药物的相关持续病毒学应答与成本——以俄克拉荷马州医疗补助计划为例
OAAI
.png){kind=icon}
OAAI分享收藏分享收藏分享收藏
没有更多内容
没有更多内容