一种基于Contourlet变换的去块效应算法

南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (1): 43–50.

一种基于Contourlet变换的去块效应算法

邓正芳1,苏金善1*,金晶2,杨兴雨1,王元庆2,曹利群3,周必业3,李鸣皋3

出版日期:2015-01-04 发布日期:2015-01-04
作者简介:(1.伊犁师范学院电子与信息工程学院,新疆伊宁,835000;2.南京大学电子科学与工程学院,南京,210046;3.中国人民解放军海军总医院,北京,100088)
基金资助:
国家科技重大专项(AHJ2011Z001),新疆高校科研计划科学研究重点项目（XJEDU2011I49）,伊犁师范学院重点项目（2011YNZD011）

A deblocking algorithm based on Contourlet transform

Deng Zhengfang1 ,Su Jingshan1,Jin Jing2,Yang Xingyu1,Wang Yuanqing2,Cao Liqun3,Zhou Biye3, Li Minggao3

Online:2015-01-04 Published:2015-01-04
About author:(1.College of Electronic and Information YILI Normal University, Yining, 835000, China;2.School of Electronics Science and Engineering, Nanjing University, Nanjing, 210046, China;3.Navy General Hospital, Beijing, 100088, China)

摘要/Abstract

摘要： 块效应是由于对图像做离散余弦变换(DCT)，在量化过程中丢失边缘的高频信息，从而导致在重建图像中块边界处出现不连续的跳变的现象。本文针对图像的块效应原理，用Contourlet变换对图像进行分解，将得到的Contourlet系数通过去块效应算法进行更新，并用得到的新系数进行图像重构。实验结果表明，该算法保留了更多原图像的细节部分，在处理图像边缘信息方面比传统方法有更好的恢复效果。

Abstract: Block effect is the noticeable discontinuous leaps in the reconstructed image, which is caused by the high frequency information of edges lost in the process of quantification using Discrete Cosine Transform (DCT). A deblocking algorithm based on Contourlet transform is proposed in this paper.This algorithm will firstly decompose the image by Contourlet Transform, then process the obtained Contourlet coefficients with the deblocking algorithm, and lastly reconstruct the image with the updated coefficients.Experiments show that the algorithm can keep more details of the original image and have better recovery performance on image edges than traditional methods.

邓正芳1,苏金善1*,金晶2,杨兴雨1,王元庆2,曹利群3,周必业3,李鸣皋3. 一种基于Contourlet变换的去块效应算法[J]. 南京大学学报(自然科学版), 2015, 51(1): 43–50.

Deng Zhengfang1 ,Su Jingshan1,Jin Jing2,Yang Xingyu1,Wang Yuanqing2,Cao Liqun3,Zhou Biye3, Li Minggao3

. A deblocking algorithm based on Contourlet transform[J]. Journal of Nanjing University(Natural Sciences), 2015, 51(1): 43–50.

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