MOTION ARTIFACT-FREE HDR IMAGING UNDER DYNAMIC ENVIRONMENTS

High dynamic range (HDR) imaging is one of the most important emerging fields of the next generation digital cameras. It is hard to handle a problem so-called ghosting artifact caused by camera shake and/or object motion in the method of fusing a set of differently exposed images. Some object motions around under or over saturation region still produce severe artifacts due to the reference image's dynamic range limitation. For the commercial product, it is the important problem to be solved completely. We analyze this problem and propose a new HDR deghosting scheme capable of dealing with various motions. In order to avoid the ghosting artifacts, we capture only two uncompressed Bayer raw images with different exposures, select the wider dynamic range image as a reference, and process them in the Bayer domain. The experimental results show that our proposed method provides motion artifact-free under dynamic environments with various moving objects.