An image enhancement method based on a s-sharp function and pixel neighborhood information

Libao Yang and Suzelawati Zenian and Rozaimi Zakaria (2021) An image enhancement method based on a s-sharp function and pixel neighborhood information. Borneo Science, 42. pp. 1-7. ISSN 1394-4339

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Abstract

Image enhancement is a significant field in image processing. This paper proposes an enhancement method based on an S-sharp function of grayscale transformation and neighborhood information. Firstly, a function is established based on the sine function. Then, the image threshold is added into the function. Finally, the result grayscales are modified by parameter, where parameter is determined by the image pixel neighborhood information. In general, in the result image, each pixel grayscale is determined by both the sine function with threshold and the parameter. In the experiment results, the NIEM method (we proposed) achieves better performance than the comparison algorithms. It gets the smallest MSE and the highest PSNR, SSIM. In image Lena test, MSE value:330.8151, PSNR value:22.9350, and SSIM value: 0.9451. In image Pout test, MSE value:132.0988, PSNR value:26.9218, and SSIM value: 0.9604.

Item Type:	Article
Keyword:	Image enhancement , S-sharp function , Standard deviation , Threshold
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	22 Sep 2021 08:23
Last Modified:	22 Sep 2021 08:23
URI:	https://eprints.ums.edu.my/id/eprint/30452

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