Fuzzy contrast enhancement techniques using rule-based system and intensification operator

Suzelawati Zenian and Tan Jia Xuan and Siti Aisyah Tumiran (2024) Fuzzy contrast enhancement techniques using rule-based system and intensification operator. Journal of Advanced Research in Applied Sciences and Engineering Technology, 45. pp. 1-11. ISSN 2462-1943

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Abstract

Contrast enhancement is a crucial step in digital image processing to ensure the production of high-quality images. Image contrast needs to be sufficient to ensure clear image visualization so that the image can be used well in various fields. Typically, images suffer from uneven lighting and low contrast. These two problems have different causes which are non-uniform illumination due to the light source being behind the object while low contrast is due to poor dynamic range. This paper presents two distinct fuzzy techniques designed to address the nuanced concept of contrast that utilize rule-based system and intensification operator, respectively, to handle the inherent vagueness associated with the concept of contrast. The fuzzy rule-based system calculates the intensity value of the output image based on the contrast measure (standard deviation) of the input image, thereby enabling effective contrast enhancement for low contrast images. Meanwhile, the fuzzy intensification operator aims to accentuate the differences in intensity levels within the image, thereby enhancing the contrast between various features and details. The experimental results show better image contrast is obtained using both methods. However, fuzzy rule-based approach shows more images with better quality compared to the intensification operator approach. The performance of these techniques is evaluated both visually and quantitatively.

Item Type:	Article
Keyword:	Contrast enhancement; fuzzy rulebased system; fuzzy intensification operator
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	23 Apr 2025 10:05
Last Modified:	23 Apr 2025 10:09
URI:	https://eprints.ums.edu.my/id/eprint/43583

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