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Received:November 13, 2012 Revised:December 21, 2012
Received:November 13, 2012 Revised:December 21, 2012
中文摘要: 为了解决全变分(TV)模型修复窄带图像缺陷时产生的视觉不连通的问题, 改善图像修复的效果. 采用可以强化细节的自适应直方图均衡化(CLAHE)操作来扩大图像的动态范围; 在全变分变换后对图像不连通区域做形态学运算来平滑并消除图像中的孤立点. 文章给出了算法原理和实现步骤, 实验结果表明修复之后的图像峰值信噪比提高, 视觉连通效果较好.
Abstract:In order to solve the visual discontinuous phenomenon that produced by TV method, improve the effect of image restoration,adopts a histogram equalization (CLAHE) operation which can strengthen the details and expand dynamic range of the image. After the TV transformation,uses a morphology operation to smooth and eliminate isolated points of the image. This paper presents the algorithm principle and implementation steps,the experimental results show that,after repair,the whole image has a better visual repairing effect and a high PSNR.
keywords: total variation(TV) model strengthen the details CLAHE morphological image defect restoration
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基金项目:安徽省教育厅基金(KJ2007B069);安徽大学“211工程”学术创新团队基金(KJTD007A)
引用文本：
任慧,李新华,朱逸婷.自适应直方图均衡化改进的全变分图像修复.计算机系统应用,2013,22(6):98-101
REN Hui,LI Xin-Hua,ZHU Yi-Ting.Self-adapting Method for Image Restoration Based on CLAHE and Total Variation.COMPUTER SYSTEMS APPLICATIONS,2013,22(6):98-101
任慧,李新华,朱逸婷.自适应直方图均衡化改进的全变分图像修复.计算机系统应用,2013,22(6):98-101
REN Hui,LI Xin-Hua,ZHU Yi-Ting.Self-adapting Method for Image Restoration Based on CLAHE and Total Variation.COMPUTER SYSTEMS APPLICATIONS,2013,22(6):98-101
