Image deblocking with adaptive non-local means filter

Shu Liu; Ci Wang

Image deblocking with adaptive non-local means filter

Shu Liu
, Ci Wang^*

^*此作品的通讯作者

Shanghai Jiao Tong University

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation. In this paper, a non-local means filter for deblocking was proposed and its parameters were adaptively optimized by machine learning. The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.

源语言	英语
页（从-至）	1930-1933
页数	4
期刊	Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
卷	47
期	12
出版状态	已出版 - 2013
已对外发布	是

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{613bfa5b0e9545bb85ed870fcdd34511,

title = "Image deblocking with adaptive non-local means filter",

abstract = "Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation. In this paper, a non-local means filter for deblocking was proposed and its parameters were adaptively optimized by machine learning. The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.",

keywords = "Adaptive non-local means filter, Deblocking, Machine learning",

author = "Shu Liu and Ci Wang",

year = "2013",

language = "英语",

volume = "47",

pages = "1930--1933",

journal = "Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University",

issn = "1006-2467",

publisher = "Shanghai Jiaotong University",

number = "12",

}

TY - JOUR

T1 - Image deblocking with adaptive non-local means filter

AU - Liu, Shu

AU - Wang, Ci

PY - 2013

Y1 - 2013

N2 - Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation. In this paper, a non-local means filter for deblocking was proposed and its parameters were adaptively optimized by machine learning. The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.

AB - Common image compression standards such as JPEG and MPEG can lead to blocking artifacts which causes serious image degradation. In this paper, a non-local means filter for deblocking was proposed and its parameters were adaptively optimized by machine learning. The experimental results prove that the proposed algorithm constantly outperforms the peer ones on all kinds of images.

KW - Adaptive non-local means filter

KW - Deblocking

KW - Machine learning

UR - https://www.scopus.com/pages/publications/84892549686

M3 - 文章

AN - SCOPUS:84892549686

SN - 1006-2467

VL - 47

SP - 1930

EP - 1933

JO - Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

JF - Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University

IS - 12

ER -

Image deblocking with adaptive non-local means filter

摘要

其它文件与链接

指纹

引用此