Open AccessHybrid Patch Propagation and Diffusion Technique for Image Inpainting
Author(s) -
Vineet Kumar,
Anurag Sinha,
Abhishek A. Solanki
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c1023.1083s219
Subject(s) - inpainting , image (mathematics) , artificial intelligence , similarity (geometry) , computer science , peak signal to noise ratio , diffusion , computer vision , noise (video) , pattern recognition (psychology) , image quality , mathematics , physics , thermodynamics
This paper deals with anovel hybrid technique based onpatch propagation and diffusion method for image inpainting. The presented technique is used to reconstruct a damaged image. Image inpainting is a method to fill the hole with the best plausible, which is created due to damage. The novel hybridization technique of diffusion-based and exemplar-based is presented to overcome the existing problem of inpainting. The method is tested on the image dataset of TUM-IID. The performance of present method is measured using quality factor (QF) analysis, peak signal-noise ratio (PSNR), and comparing similarity by structure similarity index (SSIM). Result demonstrates that the proposed calculation performed better contrast with the existing exemplar-based technique.