A multiscale mathematical morphology to enhance contrast, preserve brightness, and improve detail in the image

Abstract

Contrast is defined as the difference in luminance between an object and its surroundings. The higher the contrast, the better the differentiation between the background and the object. Contrast enhancement allows images to be more suited to human visual perception. Contrast enhancement is important for its applications in different areas of science, such as medicine, engineering and geoscience [2]. Specifically, the multiscale top-hatransform has been shown efficient in improving different types of images, such as: medical images, visible images, infrared images, among others [1]. In this work, a new contrast enhancement algorithm based on the multiscale top-hat reconstruction transformation is presented. [...]