MEMETIC ALGORITHM IMAGE ENHANCEMENT FOR PRESERVING MEAN BRIGHTNESS WITHOUT LOSING IMAGE FEATURES

Montazeri, Mitra (2019) MEMETIC ALGORITHM IMAGE ENHANCEMENT FOR PRESERVING MEAN BRIGHTNESS WITHOUT LOSING IMAGE FEATURES. International Journal of Image and Graphics (IJIG).

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Abstract

In the image processing application, contrast enhancement is a major step. Conventional contrast enhancement methods such as Histogram Equalization (HE) have not satisfactory results on many different low contrast images and they also cannot automatically handle different images. These problems result of specifying parameters manually to produce high contrast images. In this paper, an automatic image contrast enhancement on Memetic algorithm (MA) is proposed. In this study, simple exploiter is proposed to improve the current image contrast. The proposed method accomplishes multi goals of preserving brightness, retaining the shape features of the original histogram and controlling excessive enhancement rate, suiting for applications of consumer electronics. Simulation results shows that in terms of visual assessment, peak signal-to-noise (PSNR) and Absolute Mean Brightness Error (AMBE) the proposed method is better than the literature methods. It improves natural looking images specifically in images with high dynamic range and the output images were applicable for products of consumer electronic.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: mitra montazeri montazeri
Date Deposited: 16 Jan 2019 07:08
Last Modified: 16 Jan 2019 07:08
URI: http://eprints.kmu.ac.ir/id/eprint/30209

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