Sharpness Matching in Stereo Images

Journal of virtual reality and broadcasting

Colin Doutre¹  Panos Nasiopoulos¹ 

[1] Department of Electrical and Computer Engineering, The University of British Columbia$$

关键词: Blurring;    Depth Estimation;    Discrete Cosine Transform (DCT);    Sharpness;    Stereo Images;   

DOI  :  10.20385/1860-2037/9.2012.4

学科分类：计算机科学（综合）

来源: Di P P - N R W

【 摘 要 】

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.

【 授权许可】

Unknown