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Contrast Enhancement Technique Based on Lifting Wavelet Transform

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3D Research

Abstract

Contrast enhancement is an indispensable process for improving the subjective quality and information content of an image. Adjustment in the relative brightness and darkness of an image is done in order to attain the same. This paper employs lifting wavelet transform (LWT) to enhance the image since it is computationally inexpensive. The application of LWT results in the low and high frequency components. The former components that contain most of the information are enhanced using CLAHE algorithm while the latter are kept unchanged. In addition, a weighted average matrix which controls the level of enhancement is used to acquire the enhanced output image. To measure the efficacy, the proposed technique is implemented in MATLAB-2013 and evaluated on the basis of several performance metrics such as: absolute mean brightness error, average information content, Contrast Improvement Index, degree of entropy unpreserved, Structural Similarity Index, Universal Quality Index. From experiment, it can be observed that the results obtained from proposed algorithm are better than or comparable to other popular techniques in literature in almost all the parameters undertaken.

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Authors and Affiliations

  1. Electronics and Communication Department, YMCA University of Science and Technology, Faridabad, India

    Megha Goyal, Bharat Bhushan, Shailender Gupta & Rashmi Chawla

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  1. Megha Goyal
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  2. Bharat Bhushan
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  3. Shailender Gupta
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  4. Rashmi Chawla
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Correspondence to Shailender Gupta.

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Goyal, M., Bhushan, B., Gupta, S. et al. Contrast Enhancement Technique Based on Lifting Wavelet Transform. 3D Res 9, 50 (2018). https://doi.org/10.1007/s13319-018-0201-z

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  • DOI: https://doi.org/10.1007/s13319-018-0201-z

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