QQ客服 官方微博 反馈留言

	Compression Artifact Reduction for Low Bit-Rate Images Based on Non-Local Similarity and Across-Resolution Coherence
	Mu, Jing ; Xiong, Ruiqin ; Fan, Xiaopeng ; Ma, Siwei
	2015
英文摘要	This paper proposes a method to estimate coefficients for blocking artifact reduction at low bit rate. Across-resolution coherence that low and high resolution image are similar is introduced to preserve signal continuity. Non-local similarity is used to provide samples for estimation by searching similar blocks of reference block. We have two sources of estimation. One source is exploiting non-local similarity to estimate coefficients of low resolution of decoded image, and interpolating the low resolution image to high resolution. We obtain the coefficients estimation for high resolution image based on the coherence across different resolutions. The other source of estimation is the quantization coefficients. These estimations are fused by their reliability respectively. Experimental results demonstrate that the proposed algorithm outperforms some recently presented methods in terms of both objective and subjective qualities of the reconstruction images.; EI; CPCI-S(ISTP); jmu@pku.edu.cn; rqxiong@pku.edu.cn; fxp@hit.edu.cn; swma@pku.edu.cn; 129-132; 2015-July
语种	英语
出处	2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
DOI标识	10.1109/ISCAS.2015.7168587
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423397]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Mu, Jing,Xiong, Ruiqin,Fan, Xiaopeng,et al. Compression Artifact Reduction for Low Bit-Rate Images Based on Non-Local Similarity and Across-Resolution Coherence. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。