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Low contrast enhancement technique for color images using interval-valued intuitionistic fuzzy sets with contrast limited adaptive histogram equalization

  • Application of soft computing
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Abstract

This work introduces a program to enhance images taken in low-light. Fuzzy set theory is creating a significant shift in image processing. Interval-valued intuitionistic fuzzy sets (IVIFS) based on intuitionistic fuzzy sets constructed from fuzzy sets are used to enhance images taken in low-light. In the proposed method, first the given low-light image is fuzzified by normal fuzzification. Then the fuzzified image is converted to an interval-valued intuitionistic fuzzy image. This image will be proposed enhanced image after applying the contrast limited adaptive histogram equalization (CLAHE). The experimental results reveal that the proposed method gives better results when compared with other existing methods like histogram equalization (HE), CLAHE, brightness preserving dynamic fuzzy histogram equalization (BPDFHE), histogram specification approach (HSA). Based on the performance analysis like entropy and correlation coefficient (CC), the proposed method gives better results.

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Acknowledgements

This work was supported by University Grants Commission - Special Assistance Program (Department of Special Assistance - I), New Delhi, India, File No. F. 510/7/DSA-1/2015 (SAP-I).

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  1. Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, 624 302, India

    J. Reegan Jebadass & P. Balasubramaniam

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  1. J. Reegan Jebadass
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  2. P. Balasubramaniam
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Jebadass, J.R., Balasubramaniam, P. Low contrast enhancement technique for color images using interval-valued intuitionistic fuzzy sets with contrast limited adaptive histogram equalization. Soft Comput 26, 4949–4960 (2022). https://doi.org/10.1007/s00500-021-06539-x

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