Hybrid Patch Propagation and Diffusion Technique for Image Inpainting
Vineet Kumar1, A. K. Sinha2, A. K. Solanki3
1Vineet Kumar, Department of Computer Science & Engineering, Noida Institute of Engineering & Technology, Greater Noida (U.P), India.
2Dr. A. K. Sinha, Director, UST Software India Pvt Ltd., (New Delhi), India.
3Dr. A. K. Solanki, Department of Computer Science & Engineering, BIET, Jhansi (U.P), India.
Manuscript received on 16 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 140-146 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C10231083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1023.1083S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Exemplar Inpainting, Patch Propagation, Patch Diffusion, PSNR, QF, SSIM.
Scope of the Article: Image Security