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Saliency-Based Image Compression Using Walsh–Hadamard Transform (WHT)

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Biologically Rationalized Computing Techniques For Image Processing Applications

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 25))

Abstract

Owing to the development of multimedia technology, it is mandatory to perform image compression, while transferring an image from one end to another. The proposed method directly highlights the salient region in WHT domain, which results in the saliency map with lesser computation. The WHT-based saliency map is directly used to guide the image compression. Initially, the important and less important regions are identified using WHT-based visual saliency model. It significantly reduces the entropy and also reserves perceptual fidelity. The main aim of the proposed method is to produce the high-quality compressed images with lesser computational effort and thereby achieving high compression ratio. Due to the simplicity and high speed of WHT, the proposed visual saliency-based image compression method is producing reliable results, in terms of peak signal-to-noise ratio (PSNR), compression ratio, and structural similarity (SSIM), compared to the state-of-the-art methods.

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Author information

Authors and Affiliations

  1. Department of ECE, Karunya Universtiy, Coimbatore, Tamil Nadu, India

    A. Diana Andrushia

  2. Department of CSE, Kongu Engineering College, Erode, Tamil Nadu, India

    R. Thangarjan

Authors
  1. A. Diana Andrushia
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  2. R. Thangarjan
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Correspondence to A. Diana Andrushia .

Editor information

Editors and Affiliations

  1. Karunya University, Coimbatore, India

    Jude Hemanth

  2. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Diana Andrushia, A., Thangarjan, R. (2018). Saliency-Based Image Compression Using Walsh–Hadamard Transform (WHT). In: Hemanth, J., Balas , V. (eds) Biologically Rationalized Computing Techniques For Image Processing Applications. Lecture Notes in Computational Vision and Biomechanics, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-61316-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-61316-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61315-4

  • Online ISBN: 978-3-319-61316-1

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