Low contrast enhancement technique for color images using interval-valued intuitionistic fuzzy sets with contrast limited adaptive histogram equalization

This work introduces a program to enhance images taken in low-light. Fuzzy set theory is creating significant shift image processing. Interval-valued intuitionistic fuzzy sets (IVIFS) based on constructed from are used In the proposed method, first given low-light fuzzified by normal fuzzification. Then converted an interval-valued image. will be enhanced after applying contrast limited adaptive histogram equalization (CLAHE). The experimental results reveal that method gives better when compared with other existing methods like (HE), CLAHE, brightness preserving dynamic (BPDFHE), specification approach (HSA). Based performance analysis entropy and correlation coefficient (CC), results.