Review and Analysis of Different Image Inpainting Methods

Image inpainting is the process of filling of missing region so as to preserve its overall continuity. Image inpainting is manipulation and modification of an image in a form that is not easily detected. Digital image inpainting is relatively new area of research, but numerous and different approaches to tacked the inpainting problem have been proposed since the concept was first introduced. This paper compares two separate techniques viz, Exemplar based inpainting technique and Wavelet based inpainting technique, each portraying a different set of characteristics. This paper proposes a novel exemplar-based inpianting algorithm based upon the color distribution analysis. Color distribution is proposed to determine the confidence of the target patches situated on the boundary of the missing region by measuring the variation of variances of neighboring source patches. A review and analysis for different method were analysed which are explained below and image inpainting using TV model weighted method are analysed. Finally, the results of numerical experiments comparing this approach to inpainting to numerous others will be presented.