Abstract
Flashlight is used as the second illumination of a scene in photography. There exists a color inconsistent problem in images once the light color of flashlight and the light color of scene are different. The purpose of our work is to find the light color of each pixel in flashlight images, and then adjust the light color of each pixel to be the same. Our work is based on intrinsic image decomposition. The intrinsic image model the relationship between the observed image and the light color. In the thesis, we propose a two-stage decomposition method including global light map estimation and local light map refinement. First, we calculate the light map by finding the two light colors of both flashlight and the scene. Then we refine the light map by finding the dominative object’s colors. This decomposition method can be further extended to automatic form by combining with foreground object detection method. The experimental results show that the performance of our proposed automatic method is satisfactory in comparison with existing semi-automatic correction methods with our flashlight database. In addition, we also discuss the limitation and future work of our approach. In summary, the proposed method automatically solves the color inconsistent problem in flashlight images and also provides promising results.