This paper focuses on the disparity-compensated stereoscopic image coding. Such approach takes advantage of the existing redundancy between the two views as they are intended to render the visual impression of a 3D-sc...
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ISBN:
(纸本)9788362065363
This paper focuses on the disparity-compensated stereoscopic image coding. Such approach takes advantage of the existing redundancy between the two views as they are intended to render the visual impression of a 3D-scene, in which inter-view object displacements are understood as depth-related information. The classical approach is based on Block Matching (BM) algorithm, yielding a disparity map with which the predicted image is most similar to its original version. Then, with no modification of the disparity map, the residual image is encoded, yielding a refinement added to the predicted image. The proposed approach, first, improves all the possible predicted images taking into account this refinement, and then, estimates the disparity map as the one with which the predicted image resembles most that same view. Despite the significant increase in the numerical complexity, the substantial improved performance in terms of Peak-Signal to Noise-Ratio (PSNR) of this new approach is evidence of ongoing progress in this field of research.
This paper focuses on the disparity-compensated stereoscopic image coding. This coding scheme is the most implemented technique taking advantage of the typical stereoscopicimage redundancy. Namely it first predicts o...
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ISBN:
(纸本)9788362065394
This paper focuses on the disparity-compensated stereoscopic image coding. This coding scheme is the most implemented technique taking advantage of the typical stereoscopicimage redundancy. Namely it first predicts one view using the other view and a disparity map. A compensated view is then computed by coding the remaining difference between the view and its prediction. This paper concerns the computation of the disparity map combining two existing techniques. The first one, more efficient at low bitrate, is an iterative search reducing the bit cost of losslessly storing the disparity map at the expense of a small increase in distortion. The second one, more efficient at high bitrate, selects disparities minimizing the distortions of the compensated view, assuming that JPEG is used in the compensation. This combination appears to be fruitful, achieving increased performance at low- and mid-range bitrate, when tested on a few stereoscopicimages and compared to these two techniques.
This paper deals with the blockwise disparity map estimation problem for stereoscopic image coding. Generally, disparities are selected amongst a search area by minimizing a local distortion. In addition the larger th...
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ISBN:
(纸本)9781509027811
This paper deals with the blockwise disparity map estimation problem for stereoscopic image coding. Generally, disparities are selected amongst a search area by minimizing a local distortion. In addition the larger the search area is, the more often a better disparity can be chosen and the lower the global distortion is. However, the resulting disparity map containing higher number of different disparities is encoded with a larger bitrate. This paper proposes two approaches to take advantage of large search areas while reducing not only the bitrate of the estimated disparity map but also the computational complexity of the optimal solution. The developed sub-optimal algorithms rely on the initial set of disparities selected by the traditional Block-Matching Algorithm (BMA) to compute new sets minimizing the distortion of the predicted view under a bitrate constraint. Simulation results confirm the benefits of our algorithms compared to the BMA in terms of bitrate-distortion.
Disparity compensation is widely used to remove the spatial redundancies in stereoscopic image coding. In this paper, we present a disparity estimation algorithm called hierarchical block correlation, which is a hybri...
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Research in stereo imagecoding has focused on the disparity estimation/compensation process to exploit the cross-view redundancies. Most of the reported methods use a classical block-based technique in order to estim...
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ISBN:
(纸本)9781424456536
Research in stereo imagecoding has focused on the disparity estimation/compensation process to exploit the cross-view redundancies. Most of the reported methods use a classical block-based technique in order to estimate the disparity field. However, this estimation technique does not always provide an accurate disparity map, which may affect the disparity compensation step. In this paper, we propose to use an estimation method that produces a dense and smooth disparity map. Then, on the one hand, this map is segmented and efficiently coded by exploiting the high correlation between neighboring disparity values. On the other hand, we integrate the disparity information into a vector lifting scheme for stereo imagecoding. Experimental results indicate that the proposed coding scheme outperforms the conventional methods employing a block-based disparity estimation.
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