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19th IEEE International Conference on Image Processing (ICIP)

作者： Daribo, Ismael Cheung, Gene Florencio, Dinei National Institute of Informatics Japan Microsoft Research United States

ISBN: (纸本)9781467325332;9781467325349

Depth map compression is important for compact representation of 3D visual data in "texture-plus-depth" format, where texture and depth maps of multiple closely spaced viewpoints are encoded and transmitted. A decoder can then freely synthesize any chosen intermediate view via depth-image-based rendering (DIBR) using neighboring coded texture and depth maps as anchors. In this work, we leverage on the observation that "pixels of similar depth have similar motion" to efficiently encode depth video. Specifically, we divide a depth block containing two zones of distinct values (e. g., foreground and background) into two sub-blocks along the dividing edge before performing separate motion prediction. While doing such arbitrarily shaped sub-block motion prediction can lead to very small prediction residuals (resulting in few bits required to code them), it incurs an overhead to losslessly encode dividing edges for sub-block identification. To minimize this overhead, we first devise an edge prediction scheme based on linear regression to predict the next edge direction in a contiguous contour. From the predicted edge direction, we assign probabilities to each possible edge direction using the von Mises distribution, which are subsequently inputted to a conditional arithmetic codec for entropy coding. Experimental results show an average overall bitrate reduction of up to 30% over classical H.264 implementation.

关键词： Depth-image-based rendering depth map coding arithmetic coding edge coding

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Depth and depth-color coding using shape-adaptive wavelets

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JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 2010年第5-6期21卷 513-522页

作者： Maitre, Matthieu Do, Minh N. Univ Illinois Dept Elect & Comp Engn Coordinated Sci Lab Urbana IL 61801 USA Univ Illinois Beckman Inst Urbana IL 61801 USA Microsoft Corp Windows Experience Grp Redmond WA 98052 USA

We present a novel depth and depth-color codec aimed at free-viewpoint 3D-TV. The proposed codec uses a shape-adaptive wavelet transform and an explicit encoding of the locations of major depth edges. Unlike the standard wavelet transform, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the bits required to represent the data. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. We derive a simple extension of typical boundary extrapolation methods for lifting schemes to obtain as many vanishing moments near boundaries as away from them. We also develop a novel rate-constrained edge detection algorithm, which integrates the idea of significance bitplanes into the Canny edge detector. Together with a simple chain code, it provides an efficient way to extract and encode edges. Experimental results on synthetic and real data confirm the effectiveness of the proposed codec, with PSNR gains of more than 5 dB for depth images and significantly better visual quality for synthesized novel view images. Published by Elsevier Inc.

关键词： 3D-TV Free-viewpoint video Depth map Depth image Shape-adaptive wavelet transform Lifting Boundary wavelets edge coding Rate-distortion optimization

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JOINT ENcoding OF THE DEPTH IMAGE BASED REPRESENTATION USING SHAPE-ADAPTIVE WAVELETS

JOINT ENCODING OF THE DEPTH IMAGE BASED REPRESENTATION USING...

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15th IEEE International Conference on Image Processing (ICIP 2008)

作者： Maitre, Matthieu Do, Minh N. Univ Illinois Dept Elect & Comp Engn Urbana IL 61801 USA

ISBN: (纸本)9781424417650

We present a novel codec of depth-image-based representations for free-viewpoint 3D-TV. The proposed codec relies on a shape-adaptive wavelet transform and an explicit representation of the locations of major depth edges. Unlike classical wavelet transforms, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the data entropy. The codec also shares the edge information between the depth map and the image to reduce their correlation. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. Experimental results on real data confirm the superiority of the proposed codec, with PSNR gains of up to 5.46dB on the depth map and up to 0.19dB on the image compared to standard wavelet codecs.

关键词： 3D-TV shape-adaptive wavelet transform lifting boundary wavelets edge coding joint coding

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SHAPE-ADAPTIVE WAVELET ENcoding OF DEPTH MAPS

SHAPE-ADAPTIVE WAVELET ENCODING OF DEPTH MAPS

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Picture coding Symposium 2009

作者： Maitre, Matthieu Do, Minh N. Microsoft Corp Windows Experience Grp Redmond WA 98052 USA Univ Illinois Dept Elect & Comp Engn Champaign IL 61820 USA

ISBN: (纸本)9781424445936

We present a novel depth-map codec aimed at free-viewpoint 3D-TV The proposed codec relies on a shape-adaptive wavelet transform and an explicit representation of die locations of major depth edges. Unlike classical wavelet transforms, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the data entropy. The wavelet transform is implemented by shape-adaptive lifting, which enables fast computations and perfect reconstruction. We also develop a novel rate-constrained edge detection algorithm, which integrates the idea of significance bitplanes into the Canny edge detector. Along with a simple chain code, it provides an efficient way to extract and encode edges. Experimental results on synthetic and real data confirm the effectiveness of the proposed algorithm, with PSNR gains of 5dB and more over the Middlebury dataset.

关键词： 3D-TV depth map texture shape-adaptive wavelet transform lifting boundary wavelets edge coding rate-distortion optimization

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Key technologies of compress algorithm with edge featuring wavelet transform

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Jisuanji Gongcheng/Computer Engineering 2005年第23期31卷 177-179+224页

作者： Zhang, Wei Zhou, Changle Lin, Kunhui Department of Computer Science and Technology School of Computer and Information Engineering Xiamen University Xiamen 361005 China

This paper describes and discusses edge perserving wavelet transform and edge coding. They are two key technologies for new progressive compress algorithm that focus on preserving the clarity of important image features, such as edges. With two technologies capture and encode the location of important edges in the images, new progressive algorithm preserving important edge feature that may be important for recognition and quick browse, even at low bit rates. At the same time, the paper gives experiment result at Matlab6.5 and analyses the result.

关键词： edge coding edge feature Image compression Wavelet transform

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