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In an image capture, a scene with non-uniform illumination has an influence on the image quality, especially the contrast and details in dark regions. For this reason, this paper presents a color correction method using a modified image formation model in which an image is divided into three components: global illumination, local illumination, and reflectance. The global illumination is obtained by...
Color constancy (CC) or white balance (WB) is an important image processing step in digital camera and machine vision. This paper presents a robust computational algorithm that offers an accurate solution for CC. The proposed CC measure exploits the scanning strategy of RGB channel gain adjustment. In addition, the suppressing mechanism of grayscale pixel maximization (GPM) is used to locate potential...
Separation between specular reflection components and diffuse reflection components is an important subject in robotics and machine vision. Hence, the author's group has developed a method to separate a diffuse image from an image of high-speed video with specular reflection components. The method is based on an estimation technique based on luminance variation due to flicker of a light with an AC...
Skin detection represents a challenge in recent years, due to the fact that imaging conditions and illumination factor affect the resulted image. In addition, human skin color has a wide range making it a tedious task to target and extract. This paper addresses a novel method to detect skin in still images. The detection approach is based on five face detection models with integral modifications to...
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