Adaptive Fuzzy Approach for Image Contrast Enhancement

The contrast of an image plays a crucial role in distinguishing the object from the other objects and the background, especially for analyzing and diagnosing essential information. Contrast enhancement improves the quality of the image for any subjective evaluation. This paper presents novel fuzzy- based techniques for contrast enhancement. In the developed method, absolute luminance difference (ALD) have utilized to decide the threshold for contrast enhancement. We have used Gaussian fuzzy membership function to find the appropriate weight corresponding to the pixels. The mean of the Gaussian membership function is determined using the means of k-middle, and the variance of the MF in a window is evaluated by taking the average deviation from the mean. The proposed approach is validated on the standard datasets and compared with various state-of-the-art methods.