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Research Article Open access CC BY 3.0

Image Content Enhancement of Natural Images Using Genetic Algorithm

Chaahat ., Santoresh Kumari, Parveen Lehana

Physical Science International Journal · pp. 1244–1259 · Published 30 Jul 2014

10.9734/PSIJ/2014/6891

Abstract

Image contents play a vital role in various images. In this paper, genetic algorithm has been investigated for the content enhancement of the natural images. The algorithm was effective as the contents of the images became clear with the successive iterations. The algorithm was applied on the image for 1000 random DNAs with successive iterations. The analysis of the results showed that the contents of processed images were enhanced with the successive iterations with respect to the unprocessed input images. For comparison, the preliminary investigations were also carried out by comparing the results of enhancement of the images using GA and other techniques such as used in Photoshop. The analysis showed that for obtaining a comparable quality using other techniques such as Photoshop, a lot of manual adjustments of brightness, colour, and contrast are needed to get an enhanced image.  

Digital image processing genetic algorithm DNA image quality content enhancement

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Cited by 3

An Evolutionary Approach for the Enhancement of Dermatological Images and Their Classification Using Deep Learning Models

Chaahat, Naveen Kumar Gondhi, Parveen Kumar Lehana · Journal of Healthcare Engineering · 2021

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