Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss Subject The topic of the resource Contrast enhancement of medical images; Contrast Limited Adaptive Histogram Equalization (CLAHE); Correlation co-efficient; Histogram Equalization (HE) techniques; Image analysis Description An account of the resource This tutorial demonstrates a novel mathematical analysis of histogram equalization techniques and its application in medical image enhancement. In this paper, conventional Global Histogram Equalization (GHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Histogram Specification (HS) and Brightness Preserving Dynamic Histogram Equalization (BPDHE) are re-investigated by a novel mathematical analysis. All these HE methods are widely employed by researchers in image processing and medical image diagnosis domain, however, this has been observed that these HE methods have significant limitation of data loss. In this paper, a mathematical proof is given that any kind of Histogram Equalization method is inevitable of data loss, because any HE method is a non-linear method. All these Histogram Equalization methods are implemented on two different datasets, they are, brain tumor MRI image dataset and colorectal cancer H and E-stained histopathology image dataset. Pearson Correlation Coefficient (PCC) and Structural Similarity Index Matrix (SSIM) both are found in the range of 0.6-0.95 for overall all HE methods. Moreover, those results are compared with Reinhard method which is a linear contrast enhancement method. The experimental results suggest that Reinhard method outperformed any HE methods for medical image enhancement. Furthermore, a popular CNN model VGG-16 is implemented, on the MRI dataset in order to prove that there is a direct correlation between less accuracy and data loss. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Roy S.; Bhalla K.; Patel R. Source A related resource from which the described resource is derived Multimedia Tools and Applications, Vol-83, No. 5, pp. 14363-14392. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11042-023-15799-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-15799-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164355662&amp;doi=10.1007%2Fs11042-023-15799-8&amp;partnerID=40&amp;md5=22432174eadc37b192a5b812aac24b43" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164355662&amp;doi=10.1007%2fs11042-023-15799-8&amp;partnerID=40&amp;md5=22432174eadc37b192a5b812aac24b43</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13807501; CODEN: MTAPF Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy S., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Bhalla K., Washington University School of Medicine in St. Louis, St. Louis, 63110, MO, United States; Patel R., Department of Electronics and Communication Engineering, ABES Institute of Technology, Ghaziabad, India