期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015. 0307026
出版社：S&S Publications
摘要：In the image Inpainting missing targets were filled by generating the structural and textural informationof an image in a visually and also called image Inpainting where this technique is most useful, challenging problem incomputer graphics and computer vision. Here proposed an algorithm for removing target objects from digital images. Amethod introduced for accurately building with clean texture of halfway blocked building exterior from a progressionof images taken by moving cameras. In this work here present an important components based strategy that learns torecognize patches that locally adhere to the properties of the building being matched and resulting in a significantperformance boost with results of in quality. These results are defined as in the sequences where past stitching andInpainting algorithms fail. Image Inpainting by Adaptive Matching using patch sparsity shows the effeteness overtraditional exemplar based Inpainting.
关键词：Content based image retrieval; SURF algorithm; Support Vector Machines and Bayesian.
