Vaudrey, TobiReinhard, Klette2009-06-162009-06-162009Multimedia Imaging Report 35 (2009)1178-5789http://hdl.handle.net/2292/4350You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original MI_tech website http://www.mi.auckland.ac.nz/index.php?option=com_content&view=article&id=127&Itemid=113 . All other rights are reserved by the author(s).Real-world image sequences (e.g., recorded for vision-based driver assistance) are typically degraded by various types of noise, changes in lighting, out-of-focus lenses, differing exposures, and so forth. In past studies, illumination effects have been proven to cause the most common problems in correspondence algorithms. We address this problem using the concept of residuals, which is the difference between an image and a smoothed version of itself. In this paper, we conduct a study identifying that the residual images contain the important information in an image. We go on to show that they remove illumination artifacts using a mixture of synthetic and real-life images. This effect is highlighted more drastically when the illumination and exposure of the corresponding images is not the same.Copyright Computer Science Department, The University of Auckland. You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site under terms that include this permission. All other rights are reserved by the author(s).https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htmResidual Images RemoveTechnical ReportFields of Research::280000 Information, Computing and Communication Scienceshttp://purl.org/eprint/accessRights/OpenAccess