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Title: Multiple description image coding using contourlet transform

Authors: Amina Naimi; Kamel Belloulata

Addresses: Department of Telecommunications, Faculty of Electrical Engineering, TTNS Laboratory, DjillaliLiabes University of SidiBel Abbes, Algeria ' Department of Telecommunications, Faculty of Electrical Engineering, RCAM Laboratory, DjillaliLiabes University of SidiBel Abbes, Algeria

Abstract: In our work, we present multiple description coding (MDC) scheme using contourlet transform (CT) for greyscale images. The principle is to prove performance of our MDTC algorithm using CT in contrast to wavelet, which is widely used for image coding. The main goal of our approach is to encode directional sub-bands resulting from the directional stage decomposition to form the four descriptions compressed and transmitted over different packet loss channels. Most of multiple description scenarios are implemented in transform domain. A controlled amount of correlation is appended to the formed descriptions using a pairwise correlating transform (PCT). The experimental results of CT compared to discrete wavelet transform (DWT) show that our method achieves better performance in term of delivered peak signal to noise ratio (PSNR) and visual image quality reconstruction.

Keywords: image coding; multiple description coding; MDC; discrete wavelet transform; DWT; contourlet transform; CT; pairwise correlating transform; PCT; peak signal to noise ratio; PSNR.

DOI: 10.1504/IJCAET.2019.096710

International Journal of Computer Aided Engineering and Technology, 2019 Vol.11 No.1, pp.35 - 46

Available online: 05 Nov 2018 *

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