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.
Index Terms—DCT, JPEG compression, JSCC, UEP, EMNSD.
Jigisha N. Patel is with the S V National Institute of Technology, Surat, Gujarat, India (e-mail: jnpatel@ eced.svnit.ac.in).
Suprava Patnaik was with S V National Institute of Technology, Surat. He is now with the Department of Electronics Engineering, Xaviers Institute of Engineering, Mahim, Mumbai, India (e-mail: ssp@eced.svnit.ac.in).
Saraiya Mansi is with the Electronics Engineering Department, S V National Institute of Technology, Surat, Gujarat, India (e-mail: mansi.saraiya11@gmail.com).
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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.
