Collaborative image processing algorithm for detail refinement and enhancement via multi-light images
Jinghong Zheng, Zhengguo G. Li, Susanto Rahardja, Susu Yao, Wei Yao · 2010
In this paper, we introduce a new collaborative image processing algorithm to enhance contours and surface details of a scene through combination of multi-light images, which capture the same scene with fixed view point but different lighting conditions. Firstly, a detail layer that contains all contents of the multi-light images is generated through a gradient domain method and a quadratic filter. A new shadow detection algorithm is introduced to remove the artifacts from the detail layer. Subsequently, a base layer is constructed by using one input image. To further increase the visibility of details in dark areas, a simple tool is presented to brighten all dark areas of the base layer. Finally, the detail layer is multiplied to the base layer to synthesize the enhanced image that contains the desirable details. This enhanced image can present an elaborate description of the real scene. The proposed scheme also gives some interactivities that allow users to easily change the appearance of the enhanced image according to their preferences.