An Improved Image Contrast Enhancement Based on Histogram Equalization and Brightness Preserving Weight Clustering Histogram Equalization

Intensity transformation function based on information extracted from image intensity histogram play a basic role in image processing, in areas such as enhancement. Histogram equalization (HE) is a conventional method for image contract enhancement. Histogram equalization improved the contrast of image by changing the intensity level of the pixel based on the intensity distribution of the input image. However, Histogram equalization has some disadvantage. Therefore, "Brightness preserving weight clustering histogram equalization" (BPWCHE) showed that BPWCHE can preserve image brightness and enhance visualization of image more effectively than Histogram equalization method.