Separating Reflection Components of Textured Surfaces using a Single Image

The presence of highlights, which in dielectric inhomogeneous objects are linear combination of specular and diffuse reflection components, is inevitable. A number of methods have been developed to separate these reflection components. To our knowledge, all methods that use a single input image require explicit color segmentation to deal with multicolored surfaces. Unfortunately, for complex textured images, current color segmentation algorithms are still problematic to segment correctly. Consequently, a method without explicit color segmentation becomes indispensable, and this paper presents such a method. The method is based solely on colors, particularly chromaticity, without requiring any geometrical parameter information. One of the basic ideas is to compare the intensity logarithmic differentiation of specular-free images and input images iteratively. The specular-free image is a pseudo-code of diffuse components that can be generated by shifting a pixel's intensity and chr...

• Type: Conference
• Year: 2003
• Where: ICCV
• Authors: Robby T. Tan, Katsushi Ikeuchi
• Keywords: Color Segmentation Algorithms, Complex Multicolored Scenes, Computer Vision, Diffuse Reflection Components, Explicit Color Segmentation, ICCV 2003, Scene Illumination Chromaticity