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.
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.
In this paper, we present a novel multiple description transform image coding architecture, which uses an attractive transform called non-subsampled contourlet transform (NSCT). It combines NSCT and orthogonal matching pursuit algorithm (OMP) to give a sparse representation of images, aiming at solving the compression problem due to the redundancy property of NSCT. In this way, OMP turns to give a solution to remove the redundancies. We evaluate the performance of our image coder in the case of four descriptions that are dispatched over different channels. The experimentations show that the proposed method is efficient and the potential using NSCT than DWT in multiple description image coding, is evaluated by PSNR in each case of packet loss, where every description can reconstruct the image with acceptable fidelity, the later is much better if all descriptions are available.
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