Inpainting Analysis

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A Rational Approach for Detecting And Removing Cracks From Digitized Paintings * Deepika Pagrotra **Er. Navneet Kaur *Student (M.Tech) Deptt. of Computer Engineering, Punjabi University Email: deepikapagrotra@yahoo.com **Assistant Professor, Deptt. of Computer Engineering, Punjabi Univeristy Email: mavi_navneet@yahoo.co.in Abstract—The quality of historical art work related painting around several hundreds of years, which are still available for reference today and which is preserved by museum and universities all around the world, is poor due to physical deterioration. Digital image processing techniques are necessary to improve the legibility of the paintings. Cracking is one of the most common deteriorations found in old masters paintings.Old …show more content…

This procedure is carried out in such a way that it seems rational to human eyes. The lost part of the image is filled with the residual available data of the image. Inpainting can be done using various techniques, mainly variation based, exemplar based and wavelet based. In this paper, exemplar based image inpainting techniques is used and an algorithm which improves and extends the previously proposed algorithm is presented [37]. Instead of searching the entire image, the approach has reduced the search region by searching the nearby pixels since most of the applicable information lies in neighbouring pixels which reduces time to complete inpainting. This method is principally used for abolishing objects and cracks from the image. In the earlier period, this problem has been addressed by two module of algorithms: “texture synthesis” algorithms for generating large image regions from sample textures and “inpainting” techniques for filling in small image gaps[38]. Texture synthesis focuses on the texture part of image while inpainting focuses on the structural part of image. Exemplar based image inpainting is a combination of both of the above techniques, hence this technique can reconstruct structural as well as texture part of an image In this inpainting approach user selects the target region which is to be restored then algorithm automatically starts filling in that region using the …show more content…

Take gradient of image Rotate gradient to 90 degree. Find confidence and data term Compute patch priority Select the pixel p with the highest priority having patch. Find patch with minimum error. Fill the region. Update the confident term and data term. Application Restoration can provide clues to art historians, museum curators and the general public on how the painting would look like in its initial state, i.e., without the cracks. Old artwork is very important for one’s heritage,it has been used for conveying one’s culture from one generation to another, our proposed system can be used for the of artwork conservation of one’s heritage It applied to analysis, preservation and restoration It can be used as a non destructive tool for the planning of the actual restoration. Simulation Result In this section, a set of images are considered to estimate the performance of the planned cracked painting restoration algorithm.and the digitized paintings used here for simulation is taken from

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