Fuzzy Statistics Based Multi-HE for Image Enhancement with Brightness Preserving Behaviour

Histogram equalization (HE) has proved to be a simple and effective image contrast enhancement technique. However, it tends to change the mean brightness of the image to the middle level of the gray-level range. Preserving the input brightness of the image is required to avoid the generation of non-existing artifacts in the output image. To surmount this drawback, many brightness preserving and contrast enhancement methods have been proposed. These methods produce images with do not look as natural as the input ones. In order to overcome this drawback, this work proposes a novel technique called Fuzzy based Multi-HE, which consists of decomposing the input image into several sub-images, and then applying the fuzzy HE process to each one. This methodology performs a less intensive image contrast enhancement, in a way that the output image presents a more natural look.