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Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques

Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques

Tawheed Jan Shah, M. Tariq Banday
Copyright: © 2020 |Pages: 43
ISBN13: 9781799800668|ISBN10: 1799800660|ISBN13 Softcover: 9781799800675|EISBN13: 9781799800682
DOI: 10.4018/978-1-7998-0066-8.ch004
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MLA

Shah, Tawheed Jan, and M. Tariq Banday. "Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques." Examining Fractal Image Processing and Analysis, edited by Soumya Ranjan Nayak and Jibitesh Mishra, IGI Global, 2020, pp. 57-99. https://doi.org/10.4018/978-1-7998-0066-8.ch004

APA

Shah, T. J. & Banday, M. T. (2020). Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques. In S. Nayak & J. Mishra (Eds.), Examining Fractal Image Processing and Analysis (pp. 57-99). IGI Global. https://doi.org/10.4018/978-1-7998-0066-8.ch004

Chicago

Shah, Tawheed Jan, and M. Tariq Banday. "Empirical Performance Analysis of Wavelet Transform Coding-Based Image Compression Techniques." In Examining Fractal Image Processing and Analysis, edited by Soumya Ranjan Nayak and Jibitesh Mishra, 57-99. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0066-8.ch004

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Abstract

In this chapter, the performance of wavelet transform-based EZW coding and SPIHT coding technique have been evaluated and compared in terms of CR, PSNR, and MSE by applying them to similar color images in two standard resolutions. The application of these techniques on entire color images such as passport size photograph in which the region containing the face of a person is more significant than other regions results in equal loss of information content and less compression ratio. So, to achieve the high CRs and distribute the quality of the image unevenly, this chapter proposes the ROI coding technique. Compressing ROI portion using discrete wavelet transform with Huffman coding and NROI compressed with Huffman, EZW coding, SPIHT coding suggested effective compression at nearly no loss of quality in the ROI portion of the photograph. Further, higher CR and PSNR with lower MSE have been found in high-resolution photographs, thereby permitting the reduction of storage space, faster transmission on low bandwidth channels, and faster processing.

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