Perception Based Image Editing

Abstract

Image editing and post-processing techniques have matured over the years, making it difficult (vergingon impossible) to assess whether an image has been digitally enhanced or modiffied somehow. However,complex manipulations are still a time consuming process which relies on skilled user input, oftenrequiring painstakingly painting over pixels. In this thesis we present our work on advanced image editing techniques, extending current toolsby leveraging the limitations of the human visual system in order to extract additional dimensions(like depth or texture) from a single two-dimensional image. Working in perceptual space, the validityof our results is assessed by psychophysical methodologies.</p><p>image editing, perception, light source estimation, surface reconstruction, intrinsic images