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Reduction of Noise of Cloud Medical Images Using Image Enhancement Technique

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Advances in Interdisciplinary Engineering

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

The medical images are commonly available on cloud by researchers and doctors for better diagnosis and find new cures to diseases. However, due to blurriness and noises presented in such images, the intended purpose is not served. This paper presents stationary wavelet transform based two techniques i.e. Daubechies (DB) and HAAR wavelets for Gaussian noise removal from medical images. The computer simulations are carried out on a set of 20 medical images. The remarkable rise in entropy value of every image is noticed. The comparative analysis of MATLAB results suggest that DB is better than HAAR wavelet transform based method to improve the medical images and make them much more useful.

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Authors and Affiliations

  1. Amity Institute of Information Technology (AIIT), Amity University, Noida, UP, India

    Ayushi Chauhan, Neetu Mittal & Sunil Kumar Khatri

Authors
  1. Ayushi Chauhan
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  2. Neetu Mittal
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  3. Sunil Kumar Khatri
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Corresponding author

Correspondence to Neetu Mittal .

Editor information

Editors and Affiliations

  1. R&D Center, HEG Ltd., Bhopal, Madhya Pradesh, India

    Mukul Kumar

  2. Department of Mechanical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    R. K. Pandey

  3. Department of Mechanical Engineering, Amity University, Noida, Uttar Pradesh, India

    Vikas Kumar

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Cite this paper

Chauhan, A., Mittal, N., Khatri, S.K. (2019). Reduction of Noise of Cloud Medical Images Using Image Enhancement Technique. In: Kumar, M., Pandey, R., Kumar, V. (eds) Advances in Interdisciplinary Engineering . Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6577-5_80

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  • DOI: https://doi.org/10.1007/978-981-13-6577-5_80

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6576-8

  • Online ISBN: 978-981-13-6577-5

  • eBook Packages: EngineeringEngineering (R0)

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