Image recovery based on double fractal codes and adaptive TV model

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (3): 179-181.

• 图形、图像、模式识别 • Previous Articles Next Articles

Image recovery based on double fractal codes and adaptive TV model

TANG Jin1，2, YAO Yan1, LUO Bin1，2

1.Ministry of Education Key Lab of Intelligent Computing and Signal Processing, Anhui University, Hefei 230039, China
2.Industrial Image Processing & Analysis Key Lab of Anhui Province, Hefei 230039, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-01-21 Published:2012-01-21

双份分形码与自适应TV模型的图像恢复

汤进1，2，姚燕1，罗斌1，2

1.安徽大学计算智能与信号处理教育部重点实验室，合肥 230039
2.安徽省工业图像处理与分析重点实验室，合肥 230039

Abstract

Abstract: In order to restore the structure and the detail of the tampered image, an effective scheme is proposed to use the double fractal codes and the adaptive TV model for image recovery. In this paper, it can be iteratively used the fractal decoding of the two different image fractal codes and the adaptive TV model to restore the structure and the detail of the tampered regions. Experimental results show that this method has good restore result in both structure and detail recovery.

Key words: fractal image coding, iterative decoding, adaptive TV model, image recovery

摘要： 为了既能让被篡改图像的结构信息得到恢复，又能让图像的细节部分得到很好的修复，提出了一种基于双份分形码解码与自适应TV算法相结合的迭代图像修复方法。该方法结合了自适应TV算法的梯度修复特性，利用原图的两种不同分形码进行迭代解码，从而实现对篡改图像结构和细节部分的修复。实验结果表明，算法对图像的结构和细节修复上都具有较好的效果。

关键词: 分形编码, 迭代解码, 自适应TV算法, 图像修复

TANG Jin1，2, YAO Yan1, LUO Bin1，2. Image recovery based on double fractal codes and adaptive TV model[J]. Computer Engineering and Applications, 2012, 48(3): 179-181.

汤进1，2，姚燕1，罗斌1，2. 双份分形码与自适应TV模型的图像恢复[J]. 计算机工程与应用, 2012, 48(3): 179-181.

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Image recovery based on double fractal codes and adaptive TV model

双份分形码与自适应TV模型的图像恢复

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