Image Enhancement Algorithm Using Color Stereopsis

This paper propose a new image enhancement algorithm using color stereopsis between red and blue colors and also shows it’s advantages over depth darkening algorithm. Color stereopsis is a phenomenon in the human visual system (HVS) in which a long wavelength color is perceived as being located closer than a short wavelength color. Although many psychophysical studies on color stereopsis have been carried out, its practical application is not fully investigated. First, the relationship of red and blue colors to the depth perception is analyzed. Then, a simple but practical image enhancement algorithm is presented based on the analysis result. The experimental results shows the effectiveness of the algorithm. This is a simple and efficient method to enhance the perceptual quality of images that contain depth information. Here it is demonstrated that a depth map can be used for enhancing the visual quality of an image by manipulating the lightness of the foreground or background of the scene.