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Received:October 16, 2015 Revised:November 25, 2015
Received:October 16, 2015 Revised:November 25, 2015
中文摘要: 针对现有基于样本块图像修复算法中修复块优先级判断不准确、界面操作复杂等问题,本文引入主体构造概念,同时利用图形用户界面GUI进行操作.本文算法以Matlab7.11为平台,通过人工操作选定修复区域,经高斯滤波,小波变换与边缘检测得到主体构造,进而判断优先级,最后采用样本块修复算法更新自信度,完成修复.实验结果表明,修复后图像峰值信噪比提高了10.5~11.07%,且操作过程简便,适用范围广泛.
Abstract:In order to solve the problem of inaccurate priority judgment and complex operation interface and other issues of the existing image restoration algorithm based on sample block, the thesis introduces the concept of the body structure and takes advantage of the graphical user interface (GUI) to operate. The algorithm gets the body structure through artificial selection of repaired area, the Gaussian filter, wavelet transformation and edge detection on the platform of Matlab7.11. Then determine the priority, and finally use the sample block repair algorithm to update self-confidence to finish the completion of restoration. According to the experimental results, the PSNR increases by 10.5~11.07% after restoration,in addition, the algorithm operates simply and will get wide range of applications.
keywords: image restoration body structure sample block GUI
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徐溪,刘雅楠,李靖宇,刘铭,臧浩男.基于改进样本块的数字图像修复算法研究及GUI设计.计算机系统应用,2016,25(6):175-179
XU Xi,LIU Ya-Nan,LI Jing-Yu,LIU Ming,ZANG Hao-Nan.Digital Image Restoration Algorithm Research Based on Improving the Sample Block and GUI Design.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):175-179
徐溪,刘雅楠,李靖宇,刘铭,臧浩男.基于改进样本块的数字图像修复算法研究及GUI设计.计算机系统应用,2016,25(6):175-179
XU Xi,LIU Ya-Nan,LI Jing-Yu,LIU Ming,ZANG Hao-Nan.Digital Image Restoration Algorithm Research Based on Improving the Sample Block and GUI Design.COMPUTER SYSTEMS APPLICATIONS,2016,25(6):175-179
