Sharpness Matching in Stereo Images Doutre Colin Nasiopoulos Panos When stereo images are captured under less than ideal conditions, there may be inconsistencies between the two images in brightness, contrast, blurring, etc. When stereo matching is performed between the images, these variations can greatly reduce the quality of the resulting depth map. In this paper we propose a method for correcting sharpness variations in stereo image pairs which is performed as a pre-processing step to stereo matching. Our method is based on scaling the 2D discrete cosine transform (DCT) coefficients of both images so that the two images have the same amount of energy in each of a set of frequency bands. Experiments show that applying the proposed correction method can greatly improve the disparity map quality when one image in a stereo pair is more blurred than the other. Blurring Depth Estimation Discrete Cosine Transform (DCT) Sharpness Stereo Images 004 periodical academic journal JVRB - Journal of Virtual Reality and Broadcasting 9(2012) 4 2013 1860-2037 urn:nbn:de:0009-6-32907 10.20385/1860-2037/9.2012.4 http://nbn-resolving.de/urn:nbn:de:0009-6-32907 doutre2013