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The core idea of the proposed method is to ascertain the difference between the number of pixels\u2019 in histogram bins of an input image and that of the traditional histogram equalised (HE) image. The calculated difference of each bin is partitioned into different blocks based on range criteria. The proposed algorithm can be attested as a global HE approach and mainly focuses on maintaining peaks in the histogram. The proposed MCDHB framework provides a good trade\u2010off among contrast enhancement, shape of histogram, detailed information, and natural colour. Furthermore, the MCDHB framework is also incorporated with gamma correction for further improvement. The subjective and objective assessment confirms that both the proposed techniques can efficiently enhance the images, in a better way than those produced by classical techniques.<\/jats:p>","DOI":"10.1049\/iet-ipr.2019.0111","type":"journal-article","created":{"date-parts":[[2019,5,9]],"date-time":"2019-05-09T22:34:38Z","timestamp":1557441278000},"page":"1658-1670","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Modified clipping based image enhancement scheme using difference of histogram bins"],"prefix":"10.1049","volume":"13","author":[{"given":"Pankaj","family":"Kandhway","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering National Institute of Technology Patna 800005 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