Contourlet Transform Based Listless Set Partitioned Embedded Block Coding Algorithm for Wireless Multimedia Sensor Networks

International Journal of Electronics and Communication Engineering

© 2025 by SSRG - IJECE Journal

Volume 12 Issue 6

Year of Publication : 2025

Authors : Vinod Kumar Tripathi, Shrish Bajpai

10.14445/23488549/IJECE-V12I6P111

How to Cite?

Vinod Kumar Tripathi, Shrish Bajpai, "Contourlet Transform Based Listless Set Partitioned Embedded Block Coding Algorithm for Wireless Multimedia Sensor Networks," SSRG International Journal of Electronics and Communication Engineering, vol. 12,  no. 6, pp. 132-146, 2025. Crossref, https://doi.org/10.14445/23488549/IJECE-V12I6P111

Abstract:

The coding efficiency of any compression algorithm at a low bit rate is challenging. It is a crucial performance metric for reconstructing the hyperspectral image after compression. Many wavelet-based compression algorithms have been proposed, but they either have low coding efficiency, extortionate coding memory requirements, or high coding complexity. In the present manuscript, the proposed compression algorithm utilized the property of contourlet transform to represent the image's geometrical features. This led to an increase in the coding efficiency of the proposed compression algorithm. Using markers it has low and fixed memory requirements and coding complexity. The simulation presented that the proposed compression algorithm gains 2% to 5% in coding efficiency.

Keywords:

Hyperspectral image compression, Coding algorithm, Lossy compression, Transform coding, Set Partitioned.

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