Multiple Description Coding for Efficient, Low-Complexity Image Processing


  • NKEMDILIM Olusegun P. Assistant Professor, Department of Chemical Engineering, Lagos State University, Nigeria



coding effect, low complexity, image processing


This study uses Set Partitioned Embedded bloCK based coding, which is quick, effective, straightforward, and often used, to code several descriptions of changed images. Using images' discrete wavelet transform (DWT), this type of coding can be used to its fullest capacity. To enable accurate transmission of the image over noisy wireless channels, two associated descriptions are created from a wavelet processed image. These associated descriptions are broadcast across wireless channels using the set partitioning technique and SPECK coders. The quantity of descriptions received affects the quality of the image reconstruction at the decoder side. The quality of the reconstructed image improves as the number of descriptions received at the output side increases. When a description is lost from the various descriptions, the receiver can still guess it by using the correlation between the descriptions. Even when half of the descriptions are lost in transmission, the simulations run on an image in MATLAB still produce respectable performance and outcomes.


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How to Cite

NKEMDILIM Olusegun P. (2023). Multiple Description Coding for Efficient, Low-Complexity Image Processing. Applied Science and Engineering Journal for Advanced Research, 2(5), 50–57.