doi: 10.7763/IJCTE.2016.V8.1070
Block Classification and Transmission of Compressed Image with Bit Allocation and Unequal Error Protection
Jigisha N. Patel1
,
Suprav Patnaik1,2 ,
Saraiya Mansi1
- 1S V National Institute of Technology, Surat, Gujarat, India.
- 2Department of Electronics Engineering, Xaviers Institute of Engineering, Mahim, Mumbai, India.
Abstract
In image/video transmission system block or macro block classification has frequently been used to classify similar types of properties of block like spectral, statistical, perceptual etc. The bit allocation algorithm distribute total number of bits among a finite set of quantizer to maximize the quality. This paper proposed joint source channel coding (JSCC) algorithm for image transmission with: (i) optimum bit allocation for classified blocks (ii) Unequal Error Protection (UEP) at channel coding stage to minimize the total distortion. The bit allocation applied at two levels. First distribute allocate source rate between three different classes and second each class individual transforms coefficient bit assignment. The simulation results shows that using this algorithm approximately 3-4 dB improvement compare to conventional UEP and further 1.5-2 dB improvement using optimum bit allocation algorithm.
Keywords
- DCT
- JPEG compression
- JSCC
- UEP
- EMNSD
How to Cite
Jigisha N. Patel, Suprav Patnaik, and Saraiya Mansi, "Block Classification and Transmission of Compressed Image with Bit Allocation and Unequal Error Protection," International Journal of Computer Theory and Engineering, vol. 8, no. 4, pp. 350-354, 2016. https://doi.org/10.7763/IJCTE.2016.V8.1070
Copyright & License
Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).