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An efficient image compression using modified embedded zero tree coding with SVD

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Abstract

The fast-growing web technology is more focused on developing optimized image compression tools to increase the efficiency of search engines and data validation. The wavelet-based progressive image compression is a more popular compression technique used in standard JPEG 2000 codec design for multimedia image applications. The embedded zero tree wavelet coding (EZTW) is one of the lossy wavelet-based image compression which produces a high compression rate by neglecting redundant coefficients during encoding. However, singular value decomposition (SVD) is a lossless image compression, where high energy compaction and adaptability for local variance made its reconstruction quality high with a shortcoming compression ratio. In this proposed hybrid technique, the mean extracted image is segmented into blocks were subjected to SVD and modified EZTW compression. In addition, adaptive thresholding and rank selections by using an optimizer algorithm help in scoring high compression rates and effective edge reconstruction. The comparative study of the proposed technique with the art of work shows an enhancement in PSNR scores, significantly obtained at 24.64 dB even at high compression rates (90:1) for boat images.

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Data availability

The datasets generated during and/or analyzed during the current study are available in the SIPI Image Database repository, [SIPI Image Database - Misc (usc.edu)].

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  1. Department of Electronics, M S Ramaiah College of Arts, Science and Commerce, Bengaluru, Karnataka, 560054, India

    R Naveen Kumar

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  1. R Naveen Kumar
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Naveen Kumar, R. An efficient image compression using modified embedded zero tree coding with SVD. Multimed Tools Appl 83, 37795–37812 (2024). https://doi.org/10.1007/s11042-023-16725-8

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