15 February 2011 Multiview image compression based on LDV scheme
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Proceedings Volume 7863, Stereoscopic Displays and Applications XXII; 78630G (2011); doi: 10.1117/12.872430
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
In recent years, we have seen several different approaches dealing with multiview compression. First, we can find the H264/MVC extension which generates quite heavy bitstreams when used on n-views autostereoscopic medias and does not allow inter-view reconstruction. Another solution relies on the MVD (MultiView+Depth) scheme which keeps p views (n > p > 1) and their associated depth-maps. This method is not suitable for multiview compression since it does not exploit the redundancy between the p views, moreover occlusion areas cannot be accurately filled. In this paper, we present our method based on the LDV (Layered Depth Video) approach which keeps one reference view with its associated depth-map and the n-1 residual ones required to fill occluded areas. We first perform a global per-pixel matching step (providing a good consistency between each view) in order to generate one unified-color RGB texture (where a unique color is devoted to all pixels corresponding to the same 3D-point, thus avoiding illumination artifacts) and a signed integer disparity texture. Next, we extract the non-redundant information and store it into two textures (a unified-color one and a disparity one) containing the reference and the n-1 residual views. The RGB texture is compressed with a conventional DCT or DWT-based algorithm and the disparity texture with a lossless dictionary algorithm. Then, we will discuss about the signal deformations generated by our approach.
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Benjamin Battin, Cédric Niquin, Philippe Vautrot, Didier Debons, Laurent Lucas, "Multiview image compression based on LDV scheme", Proc. SPIE 7863, Stereoscopic Displays and Applications XXII, 78630G (15 February 2011); doi: 10.1117/12.872430; https://doi.org/10.1117/12.872430
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KEYWORDS
Image compression

Laser Doppler velocimetry

Colorimetry

Computer programming

Quantization

Reconstruction algorithms

Image processing

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