15 February 2011 Multiview image compression based on a new basis representation
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Abstract
In order to compress the multiview image efficiently, we propose a new basis representation by using directional sampling.Because the multiview image has the static correlation related to the camera position, directional sampling can eliminate the correlation efficiently. We apply directional three dimensional Discrete Cosine Transform (directional 3D-DCT), directional three dimensional Discrete Wavelet Transform (directional 3D-DWT) and directional three dimensional Principal Component Analysis (directional 3D-PCA) to three dimensional data that has vertical, horizontal and view axis. In the experimental results, the method by using directional sampling showed better quality than conventional sampling, not only in the objective evaluation, but also in the subjective evaluation. Furthermore, the proposed method showed better Rate-PSNR than conventional method (disparity compensation).
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Takehiro Yamada, Takehiro Yamada, Toshiaki Fujii, Toshiaki Fujii, } "Multiview image compression based on a new basis representation", Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630E (15 February 2011); doi: 10.1117/12.872632; https://doi.org/10.1117/12.872632
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