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- W2945221208 abstract "In the image processing application, contrast enhancement is a major step. Conventional contrast enhancement methods such as Histogram Equalization (HE) do not have satisfactory results on many different low contrast images and they also cannot automatically handle different images. These problems result in 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." @default.
- W2945221208 created "2019-05-29" @default.
- W2945221208 creator A5031482107 @default.
- W2945221208 date "2019-10-01" @default.
- W2945221208 modified "2023-09-25" @default.
- W2945221208 title "Memetic Algorithm Image Enhancement for Preserving Mean Brightness Without Losing Image Features" @default.
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- W2945221208 doi "https://doi.org/10.1142/s0219467819500207" @default.
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