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计算机工程 ›› 2009, Vol. 35 ›› Issue (21): 208-210. doi: 10.3969/j.issn.1000-3428.2009.21.070

• 图形图像处理 • 上一篇    下一篇

基于复数小波阈值和w-TV的去块效应算法

关 艳,练秋生   

  1. (燕山大学信息科学与工程学院,秦皇岛 066004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-11-05 发布日期:2009-11-05

Deblocking Artifacts Algorithm Based on Complex Wavelet Threshold and Weighted-Total Variation

GUAN Yan, LIAN Qiu-sheng   

  1. (College of Information Science & Engineering, Yanshan University, Qinhuangdao 066004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-11-05 Published:2009-11-05

摘要: 块离散余弦变换在低比特率时其恢复图像的块边界上会出现明显可见的方块效应,降低了图像的视觉质量。针对该问题提出一种基于复数小波阈值和加权全变差(w-TV)的块效应消除算法,利用复数小波阈值和加权全变差的特性对图像进行处理。实验证明,该算法较好地去除了块效应,尽可能保留了图像的特征结构,具有良好的视觉效果。

关键词: 块离散余弦变换, 方块效应, 加权全变差, 复数小波阈值

Abstract: A major drawback of Block Discrete Cosine Transform(BDCT) is that the decoded images, especially at very low bit rates, exhibit highly noticeable blocking artifacts near the block boundaries. This paper proposes the method for combining weighted-Total Variation(w-TV) with complex wavelet threshold. By using the properties of w-TV with complex wavelet threshold, experiment shows that this method can reduce blocking artifacts and keep much more characteristic structures of image, it has the favorable vision effect.

Key words: Block Discrete Cosine Transform(BDCT), blocking artifacts, weighted-Total Variation(w-TV), complex wavelet threshold

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