===================================== README: Inpainting based PatchMatch ===================================== @Author: Younesse ANDAM @Contact: [email protected] Description: This project is a personal implementation of an algorithm called PATCHMATCH that restores missing areas in an image. The algorithm is presented in the following paper PatchMatch A Randomized Correspondence Algorithm for Structural Image Editing by C.Barnes,E.Shechtman,A.Finkelstein and Dan B.Goldman ACM Transactions on Graphics (Proc. SIGGRAPH), vol.28, aug-2009 For more information please refer to http://www.cs.princeton.edu/gfx/pubs/Barnes_2009_PAR/index.php Copyright (c) 2010-2011 Requirements ============ To run the project you need to install Opencv library and link it to your project. Opencv can be download it here http://opencv.org/downloads.html How to use =========== The project accepts two images 1- The original image 2- The pruned image you can delete a part of interest in the image. The algorithm will patch the remaining image to give a natural result. The project contains some example of images to try it. You may find them in image_files. After choosing the image file, enter the paths of those image files in main.c char fileNameInput[50] = YOUR_PATH_HERE_OF_ORIGINAL_IMAGE; char fileNameMasked[50] = YOUR_PATH_HERE_OF_PRUNED_IMAGE; Enjoy!!
Randomized Correspondence Algorithm for Structural Image Editing
Overview
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Comments
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Does the completness term necessary?
opened by cmf588124 0The completness term should be ignored in inpainting task as paper described, but i found completness term still retained in your code, does this necessary?
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