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Color Image Compression Based on Block Truncation Coding Using Clifford Algebra

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

Block Truncation Coding (BTC) is one of the most moment preserving (arithmetic mean and standard deviation) methods for compressing an image. Absolute Moment Block Truncation Coding (AMBTC) is an improved version of BTC, preserves only arithmetic mean. The present work deals with image compression based on Absolute Moment Block Truncation Coding (AMBTC) and Clifford Algebra for color images. A color image is divided into three distinct planes, Red (R), Green (G) and Blue (B) and the proposed method applied on these three planes separately. Each element of pixel is represented into a sum of largest perfect square of positive integers. Experimental results of proposed method give satisfactory result in terms of different parameters such as Peak Signal to Noise Ratio (PSNR), Bit Rate (BR), and Structural SIMilarity Index (SSIM).

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Acknowledgment

The author wishes to thanks the reviewer, whose comments have helped improving the presentation of the paper.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Budge Budge Institute of Technology, Kolkata, 700137, West Bengal, India

    Kartik Sau & Ratan Kumar Basak

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, 700 009, West Bengal, India

    Amitabha Chanda

Authors
  1. Kartik Sau
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  2. Ratan Kumar Basak
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  3. Amitabha Chanda
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Corresponding author

Correspondence to Kartik Sau .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Sau, K., Basak, R.K., Chanda, A. (2015). Color Image Compression Based on Block Truncation Coding Using Clifford Algebra. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_68

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_68

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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