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Submitted
September 26, 2015
Accepted
September 26, 2015
Published
September 26, 2015
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Abstract

An approach for filling-in blocks of missing data in wireless image transmission is presented in this paper. When compression algorithms such as JPEG are used as part of the wireless transmission process, images are first tiled into blocks of 8x8 pixels. When such images are transmitted over fading channels, the effects of noise can destroy entire blocks of the image. Instead of using common retransmission query protocols, we aim to reconstruct the lost data using correlation between the lost block and its neighbours. If the lost block contained structure, it is reconstructed using an image inpainting algorithm, while texture synthesis is used for the textured blocks. The switch between the two schemes is done in a fully automatic fashion based on the surrounding available blocks. The performance of this method is tested for various images and combinations of lost blocks.

Keywords

Restoration interpolation inpainting filling-in texture synthesis JPEG wireless transmission compression.

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Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal. 

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This is an open-access article distributed under the terms of  Creative Commons License

 

How to Cite
Patel, P., Gupta, S., & Zafar, H. (2015). STRUCTURE AND TEXTURE SYNTHESIS. International Journal of Students’ Research in Technology & Management, 1(2), 82–88. Retrieved from https://mgesjournals.com/ijsrtm/article/view/46
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