Performance Evaluation of Object Removal by Image Inpainting using CSH Technique

Shubham Jain, Pritesh Jain

Abstract


Image processing includes various techniques or mathematical operations to improve the quality of images. By these techniques images are employed for decreasing the noises and other undesirable effects. One of the processes named image inpainting is used for improving the quality of image by reconstruction of the decamped image. In this proposed work the image inpainting techniques are evaluated and investigated in detail. The proposed CSH based image inpainting technique includes the four main phases for image enhancement. First identification of target regions of image, secondly computations of hash table, third the computation of best patches and mapping and finally the updates on the target image. The proposed technique is implemented using the MATLAB technology and the performance of the algorithms are compared and measured in terms of MSE, PNSR and time consumption.


Full Text:

PDF

References


H. M. Patel, Prof. H. L. Desai, “A Review on Design, Implementation and Performance analysis of the Image Inpainting Technique based on TV model”, 2014 IJEDR | Volume 2, Issue 1, ISSN: 2321-9939

Qing Zhang and Jiajun Lin, “Exemplar-Based Image Inpainting Using Color Distribution Analysis”, Journal Of Information Science And Engineering 28, 641-654 (2012)

Dang Thanh Trung, Chaker Larabi and Azeddine Beghdadi, “Multi-resolution Patch and Window-Based Priority for Digital Image Inpainting Problem”, 978-1-4673-2584-4/12/$31.00, 2012 IEEE

Marcelo Bertalm´ıo, Vicent Caselles, Simon Masnou, Guillermo Sapiro, “Inpainting”, http://math.univ-

lyon1.fr/~masnou/fichiers/publications/survey.pdf

Shutao Li, Ming Zhao, “Image inpainting with salient structure completion and texture propagation”, 2011 Elsevier B.V

Yogita More, Savita Tuplondhe, Dhanashree More, Ashwin Patil, “Image Inpainting Using Exemplar Based Method and Multi-scale Graph Cuts”, International Journal of Research in Advent Technology, Vol.2, No.4, April 2014

Ankur G. Patel, Shashwat kumar, Ankit D. Prajapati, “Analysis of Exemplar Based Image Inpainting”, (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , 2014, 800-804

Nishant Trivedi, “Image Enhancement and Restoration by Image Inpainting”, Int. Journal of Engineering Research and Applications, ISSN: 2248-9622, Vol. 4, Issue 12 (Part 4), December 2014


Refbacks

  • There are currently no refbacks.