Ghosting and popping detection for image-based rendering

Film sequences generated using image-based rendering techniques are commonly used in broadcasting, especially for sporting events. In many cases, however, image-based rending sequences contain artifacts, and these must be manually located. Here, we propose an algorithm to automatically detect not only the presence of the two most disturbing classes of artifact (popping and ghosting), but also the strength of each instance of an artifact. A simple perceptual evaluation of the technique shows that it performs well.