Abstract
This work introduces a program to enhance images taken in low-light. Fuzzy set theory is creating a significant shift in image processing. Interval-valued intuitionistic fuzzy sets (IVIFS) based on intuitionistic fuzzy sets constructed from fuzzy sets are used to enhance images taken in low-light. In the proposed method, first the given low-light image is fuzzified by normal fuzzification. Then the fuzzified image is converted to an interval-valued intuitionistic fuzzy image. This image will be proposed enhanced image after applying the contrast limited adaptive histogram equalization (CLAHE). The experimental results reveal that the proposed method gives better results when compared with other existing methods like histogram equalization (HE), CLAHE, brightness preserving dynamic fuzzy histogram equalization (BPDFHE), histogram specification approach (HSA). Based on the performance analysis like entropy and correlation coefficient (CC), the proposed method gives better results.
Highlights
Image processing is the field of study in which algorithms operate on input images to produce output images
Jianga et al [8] introduced an approach to specifying the correct histogram profile, which means that the intensity values of the image are adjusted and the output brightness is maintained close to the input image
Yussof et al [13] used the contrast limited adaptive histogram equalization (CLAHE) technique to obtain an enhanced image from a combination of releases performed on the RGB color model and the HSV color model, which was done by Euclidean regulation
Summary
Colorize a gray scale image to make the different data values more distinguishable to a human observer. Current methods for image enhancement are based on transformational domain methods that may introduce color artifacts and reduce the intensity of input remote sensing images To overcome this problem, Sharma et al [21] introduced a modified approach, which has the potential to effectively enhance the contrast in digital images using a modified fuzzy-based development algorithm. Nowadays several intuitionistic fuzzy c-means clustering algorithm methods were introduced in [24, 25] using intuitionistic fuzzy entropy In this manuscript, we introduce a new approach for color image enhancement algorithm for low light images by using interval-valued intuitionistic fuzzy sets. We introduce a new approach for color image enhancement algorithm for low light images by using interval-valued intuitionistic fuzzy sets Images were taken from low light paired dataset (LoL) for testing
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