M Tech Dissertations
Permanent URI for this collectionhttp://ir.daiict.ac.in/handle/123456789/3
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Item Open Access Texton based auto region detection for image inpainting(Dhirubhai Ambani Institute of Information and Communication Technology, 2012) Vora, Manali; Joshi, Manjunath V.Historical monuments are considered as one of the key aspects for modern communities. Unfortunately, because of variety of factors these monuments are sometimes damaged or destroyed. Image inpainting is the process of restoring the damaged image and hence can be used as a useful tool for restoring the images of historical monumnets. Inpainting techniques developed so far require the user to manually select regions to be inpainted. In this thesis, we propose a novel approach for automatic region detection for inpainting. Given a frontal face test image and a set of face images of monument consisting of vandalized and nonvandalized regions, our task is to: 1. extract potential regions of interest like eyes, nose and lips, 2. identify whether a particular region is vandalized or not and 3. inpaint the vandalized regions using the available non-vandalized regions. In our approach, potential regions of interest are rst localized using the bilateral symmetry based method, while the identication of vandalized and non-vandalized regions is done based on the texture statistics. The texture statistics are obtained by extracting the textons from the lter response space by using the Kmeans algorithm. After identifying vandalized regions, Poisson image editing technique is used to inpaint them using the non-vandalized regions available either in the same image or from the other images in the database. Novelty of our approach lies in 1. automatic detection of target regions for inpaiting and 2. automatic selection of optimum number of textons. Experiments conducted on the frontal face images of monuments downloaded from the Internet give promising resultsItem Open Access Automatic image inpainting for the facial images of monuments(Dhirubhai Ambani Institute of Information and Communication Technology, 2011) Parmar, Chintan; Joshi, Manjunath V.Image inpainting is the process of restoring or modifying the image contents im- perceptibly. In this paper we propose a novel approach for automatic image inpainting of the ruined frontal face images of monuments or statues of historic places. Given a facial test image and a set of frontal face images consisting of vandalized and non-vandalized regions captured from the same historical site, our objective is to: 1. detect both the vandalized and non-vandalized regions, 2. inpaint the vandalized regions using the non-vandalized one. Potential regions of interest (ROI) are localized using edge based features. Final detection is done using appropriate designed templates for vandalized and non-vandalized regions. Once the regions are detected the inpainting of the vandalized region is done by using similar regions that are non-vandalized. The non-vandalized regions are selected either from the same image or from other images available in the database. Poisson image editing is used for inpainting the vandalized regions. Novelty of our approach lies in automatic detection of vandalized regions and inpainting them using the non-vandalized regions already existing in the database.