Volume 14, Issue 2 (9-2017)                   JSDP 2017, 14(2): 97-114 | Back to browse issues page



DOI: 10.18869/acadpub.jsdp.14.2.97

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Jamshidi A, Yazdi M, Manafi M. Image Compression Based on Intelligent Information Removing and Inpainting Reconstruction Algorithms. JSDP. 2017; 14 (2) :97-114
URL: http://jsdp.rcisp.ac.ir/article-1-434-en.html

Associate Professor Shiraz University
Abstract:   (239 Views)

Compression can be done by lossy or lossless methods. The lossy methods have been used widely than the lossless compression. Although, many methods for image compression have been proposed yet, the methods using intelligent skipping proper to the visual models has not been considered in the literature. Image inpainting refers to the application of sophisticated algorithms to replace lost or corrupted parts of the data so that visual difference cannot be inferred from the reconstructed image. In this paper, first we review some of the image inpainting algorithms and some of the image compression techniques using the inpainting algorithms, we propose a new inpainting based image compression algorithm that can improve the compression rate considerably. Simulation results show that our proposed method has reasonable visual quality in comparison with the other proposed image compression algorithms. 

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Type of Study: Research | Subject: Paper
Received: 2015/10/8 | Accepted: 2017/05/20 | Published: 2017/10/21 | ePublished: 2017/10/21

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