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Wavelet Based Compression of Acne Face Images with Automatic Selection and Lossless Compression of Acne Affected Region

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Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

Abstract

Medical image compression is inevitable part of medical research centers and hospitals. In this paper, compression of acne face images is considered by exploiting the fact that such images normally have some region of interest (ROI) space that contains acne and other space (without acne) as non region of interest. For proper diagnosis and treatment of acne, compression should be performed in such a way that no information loss results for the acne affected region. This paper proposes a new algorithm, in which the acne affected region is automatically selected using K-means clustering and then compressed minimally whereas relatively higher compression is applied on the non region of interest using wavelet transform in RGB colour space. Using this algorithm good Compression Ratio (CR) upto 8-14 is achieved without degradation in image quality of the acne affected region.

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Authors and Affiliations

  1. Department of Electronics Engineering, MITS, Gwalior, Madhya Pradesh, India

    Garima Nain, Ashish Gupta & Rekha Gupta

Authors
  1. Garima Nain
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  2. Ashish Gupta
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  3. Rekha Gupta
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Corresponding author

Correspondence to Ashish Gupta .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

  4. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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Nain, G., Gupta, A., Gupta, R. (2020). Wavelet Based Compression of Acne Face Images with Automatic Selection and Lossless Compression of Acne Affected Region. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_7

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