文章基本信息

标题：Restoration of Historical Wall Paintings Using Improved Nearest Neighbour Algorithm
本地全文：下载
作者：Sukhjeet Kaur ; Amanpeert Kaur
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9581-9586
出版社：IJECS
摘要：Wall painting restoration is the process of restoring old and damaged wall painting which have cracks, fold marks ,dark orwhite spots etc. back to their original or a near-original state. Restoration wall painting is a process of recover the wall painting whichare corrupted by many natural phenomena like unfavourable weather conditions, dust, smoke etc. due to which the wall paintingsaffected by many problems like cracks. To overcome these limitations a new algorithm that is nearest neighbour algorithm is used thatcan serve both the tasks of detecting and removing the cracks, so the quality of the wall painting images can be improved. For moreimprovement in the quality of digital wall painting ,another deformity is considered that is white spots which are detected as well asremoved and nearest neighbour algorithm is improved by increasing the contrast and saturation. The nearest neighbour algorithmprovide the more accurate result as compared to SIHF algorithm based on parameters that are Peak signal to noise ratio (PSNR) andmean squared error (MSE). The nearest neighbour algorithm gives the more accurate results than the SIHF algorithm as it remove themore number of cracks and white spots
关键词：Image Restoration; Historical Wall paintings; Nearest;Neighbour Algorithm; Cracks.