Intrinsic Image Decomposition Using Color Invariant Edge

The intrinsic image composed of reflectance and shading images plays important roles in various computer vision applications. This paper focuses on solving the problem of intrinsic image decomposition. Based on the assumption that the image derivatives can be classified into either reflectance-related or shading-related, the reflectance and shading image can be restored from the classified derivatives. We improve the classification result using only color information by introducing the color invariant edge. Considering some color invariant properties in the image, the color invariant edge can provide more useful information in guiding the classification and producing more robust decomposition result as it is shown in the experiment.