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A Medical Image Enhancement Based on Generalized Class of Fractional Partial Differential Equations by Rabha W. Ibrahim; Hamid A. Jalab; Faten Khalid Karim; Eatedal Alabdulkreem; Mohamad Nizam Ayub is a Medicine article available to read on EtoBox.

What is A Medical Image Enhancement Based on Generalized Class of Fractional Partial Differential Equations about?

## Background: The interest in using fractional calculus operators has grown in the field of image processing. image enhancement is one of image processing tools that aims to improve the details of an image. the enhancement of medical images is a challenging task due to the unforeseeable variation in the quality of the captured images. ## Methods: In this study, we present a mathematical model based on the class of fractional partial differential equations (fpdes). the class is formulated by the proportional-caputo hybrid operator (pcho). moreover, some properties of the geometric functions in the unit disk are applied to determine the upper bound solutions for this class of fpdes. the upper bound solution is indicated in the relations of the general hypergeometric functions. the main advantage of fpde lies in its capability to enhance the low contrast intensities through the proposed fractional enhanced operator. ## Results: The proposed image enhancement algorithm is tested against brain and lungs computed tomography (ct) scans datasets of different qualities to show that it is robust and can withstand dramatic variations in quality. the quantitative results of brisque, piqe, sse

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Author

Rabha W. Ibrahim; Hamid A. Jalab; Faten Khalid Karim; Eatedal Alabdulkreem; Mohamad Nizam Ayub

Publisher

AME Publishing Company

Published

2022

Language

EN

Field

Medicine (Health Sciences)