Depth-Image Compression Based on an R-D Optimized Quadtree Decomposition for the Transmission of Multiview Images

Morvan, Yannick; Farin, Dirk

doi:10.1109/icip.2007.4379776

Cited by 107 publications

(74 citation statements)

References 12 publications

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“…Equation (5) shows that two probability density functions need to be constructed. The first term is the data fidelity model, which provides a measure of the conformance of the estimated image orĝ T for the original texture image to the coded texture image T dec according to the image observation model described in (3). The second term is determined by the probability density function of the original texture image.…”

Section: T T P T T P Tmentioning

confidence: 99%

“…In the first approach, new compression techniques have been developed, including a platelet-based depth video coding algorithm [3], silhouette-based algorithms [4], and a modification of the existing video codec, such as object-based coding of depth video [5], 3D-motion-estimation-based methods [6], and a lossless-compression technique for a depth video [7].…”

Section: Introductionmentioning

confidence: 99%

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Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

Bang

Hur

Lee

2014

ETRI J

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Since July of 2012, the 3D video extension of H.264/AVC has been under development to support the multi-view video plus depth format. In 3D video applications such as multi-view and free-view point applications, synthesized views are generated using coded texture video and coded depth video. Such synthesized views can be distorted by quantization noise and inaccuracy of 3D wrapping positions, thus it is important to improve their quality where possible. To achieve this, the relationship among the depth video, texture video, and synthesized view is investigated herein. Based on this investigation, an edge noise suppression filtering process to preserve the edges of the depth video and a method based on a total variation approach to maximum a posteriori probability estimates for reducing the quantization noise of the coded texture video. The experiment results show that the proposed methods improve the peak signal-to-noise ratio and visual quality of a synthesized view compared to a synthesized view without post processing methods.

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Section: T T P T T P Tmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

Bang

Hur

Lee

2014

ETRI J

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“…The early good performers were based on platelets [9] and region based coding [10]. Especially related with the method proposed in this letter are the encoding with piecewise linear approximations of the contours [11] and the lossy methods using region merging and splitting [12].…”

Section: Introductionmentioning

confidence: 99%

Patch-Based Conditional Context Coding of Stereo Disparity Images

Tăbuş

2014

IEEE Signal Process. Lett.

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Abstract-This letter proposes a method for lossless coding the left disparity image, L, from a stereo disparity image pair (L,R), conditional on the right disparity image, R, by keeping track of the transformation of the constant patches from R to L. The disparities in R are used for predicting the disparities in L, and the locations of the pixels where the prediction is erroneous are encoded in a first stage, conditional on the patch-labels of R image, allowing the decoder to already reconstruct with certainty some elements of the L image, e.g., the disparity values at certain pixels and parts of the contours of left image patches. Second, the contours of the patches in L image that are still unknown after first stage are conditionally encoded using a mixed conditioning context: the usual causal current context from the contours of L and a noncausal context extracted from the contours in the correctly estimated part of L obtained in the first stage. The depth values in the patches of L image are finally encoded, if they are not already known from the prediction stage. The new algorithm, dubbed conditional crack-edge region value (C-CERV), is shown to perform significantly better than the non-conditional coding method CERV and than another existing conditional coding method, over the Middlebury corpus. C-CERV is shown to reach lossless compression ratios of 100-250 times for those images that have a high precision of the disparity map.

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“…Using pixel and depth maps of neighboring views, intermediate views can be synthesized via depth-image-based rendering (DIBR) [3] at high fidelity. Efficient coding tools for depth maps, with unique characteristics such as smooth surfaces and sharp edges, have also been proposed recently [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Bit allocation and encoded view selection for optimal multiview image representation

Cheung

Velisavljević

2010

2010 IEEE International Workshop on Multimedia Signal Processing

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Abstract-Novel coding tools have been proposed recently to encode texture and depth maps of multiview images, exploiting inter-view correlations, for depth-image-based rendering (DIBR). However, the important associated bit allocation problem for DIBR remains open: for chosen view coding and synthesis tools, how to allocate bits among texture and depth maps across encoded views, so that the fidelity of a set of V views reconstructed at the decoder is maximized, for a fixed bitrate budget? In this paper, we present an optimization strategy to select subset of texture and depth maps of the original V views for encoding at appropriate quantization levels, so that at the decoder, the combined quality of decoded views (using encoded texture maps) and synthesized views (using encoded texture and depth maps of neighboring views) is maximized. We show that using the monotonicity property, complexity of our strategy can be greatly reduced. Experiments show that using our strategy, one can achieve up to 0.83dB gain in PSNR improvement over a heuristic scheme of encoding only texture maps of all V views at constant quantization levels. Further, computation can be reduced by up to 66% over a full parameter search approach.

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Depth-Image Compression Based on an R-D Optimized Quadtree Decomposition for the Transmission of Multiview Images

Cited by 107 publications

References 12 publications

Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

Post-processing of 3D Video Extension of H.264/AVC for a Quality Enhancement of Synthesized View Sequences

Patch-Based Conditional Context Coding of Stereo Disparity Images

Bit allocation and encoded view selection for optimal multiview image representation

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