slugAnalysis and Comparison of Spatial Domain Digital Image Inpainting Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 7
Abstract
Digital Image Inpainting is an interesting research topic in image processing. Digital Image Inpainting uses spatial or frequency information to restore partially damaged images and paintings. Digital Image Inpainting Algorithms aim at filling the missing or broken regions of an image so that it appears continuous and natural for not so familiar user. This paper compares the inpainted images obtained by Olivera’s, modified Olivera’s, median filtering, and directional median filtering, convolution using Noori et al’s method and bilateral inpainting for an image with 10 pixel broad damage. A large number of experiments show that the two algorithms can efficiently restore the structure and texture information. Results are compared based on the Peak Signal to Noise Ratio (PSNR) and are better than the other algorithms.
Authors and Affiliations
Prof. Mrs Anupama Sanjay Awati, Prof. Dr. Mrs. Meenakshi R. Patil
Keywords
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