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Adaptively Compensated-Disparity Prediction Scheme for Stereo Image Compression and Reconstruction  

배경훈 (광운대학교 전자공학과 국가지정 3차원 영상미디어 연구실)
김은수 (광운대학교 전자공학과 국가지정 3차원 영상미디어 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.7A, 2002 , pp. 676-682 More about this Journal
Abstract
In this paper, an effective stereo image compression and reconstruction technique using a new adaptively compensated-disparity prediction scheme is proposed. That is, by adaptively predicting the mutual correlation between the stereo image using the proposed method, the bandwidth of the stereo input image can be compressed to the level of the conventional 2D image and the predicted image also can be effectively reconstructed using this transmitted reference image and disparity data in the receiver. Especially, in the proposed method, once the feature values are extracted from the input stereo image, then the matching window size for the predicted image reconstruction is adaptively selected in accordance with the magnitude of this feature values. From this adaptive disparity estimation method, reduction of the mismatching probability of the disparity vectors is expected and as a result, the image quality in the reconstructed image can be improved. In addition, from some experiments using the CCETT's stereo images of 'Fichier', 'Manege' and 'Tunnel', it is shown that the proposed method improves the PSNR of the reconstructed image to about 9.08 dB on average by comparing with that of the conventional methods. And also, it is found that there is almost no difference between the original image and the predicted image reconstructed through the proposed method by comparison to that of the conventional methods.
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