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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 41750 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Marvasti, Farrokh
- Abstract:
- Digital images degrade during transmittion via noisy channels. The goal of this thesis is to propose new methods for image recovery from random and block losses In the first part of the thesis, various techniques for image recovery from random losses will be reviewd and then a method will be proposed based on the correlation among image pixels in the spatial domain. The method is fast, efficient and robust against Gaussian noise. Also a technique will be developed for quality estimation in the recipient. The second part of the thesis devotes image recovery from block losses. After a brief survey for image inpainting techniques we intoduce the concept of image reconstruction using the side-information. Then we propose a method based on the sparsity of the transform domain. If the side-information is not available in the recipient, we apply a technique to estimate it. The proposed methods have been compared with the existing techniques. Comparisons include subjective and objective performances and computational comlexity. In both cases of random and block loss recovery, the proposed methods are much faster than the existing techniques. Also, the results are considerably better in objective and subjective performance measures
- Keywords:
- Image Retrieval ; Random Errors ; Image Inpainting ; Spatial Correlation ; Image Sparsity ; Block Losses
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