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Proceedings ArticleDOI

A multiresolution framework for stereoscopic image sequence compression

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TLDR
The psychophysical property of the human visual system, that only one high resolution image in a stereo image pair is sufficient for satisfactory depth perception, has been used to further reduce the bit rates in this paper.
Abstract
Stereoscopic sequence compression typically involves the exploitation of the spatial redundancy between the left and right streams to achieve higher compressions than are possible with the independent compression of the two streams. In this paper the psychophysical property of the human visual system, that only one high resolution image in a stereo image pair is sufficient for satisfactory depth perception, has been used to further reduce the bit rates. Thus, one of the streams is independently coded along the lines of the MPEG standards, while the other stream is estimated at a lower resolution from this stream. A multiresolution framework has been adopted to facilitate such an estimation of motion and disparity vectors at different resolutions. Experimental results on typical sequences indicate that the additional stream can be compressed to about one-fifth of a highly compressed independently coded stream, without any significant loss in depth perception or perceived image quality. >

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Citations
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Journal ArticleDOI

Optimal blockwise dependent quantization for stereo image coding

TL;DR: This work addresses the problem of blockwise bit allocation for coding of stereo images and shows how, given the special characteristics of the disparity field, one can achieve an optimal solution with reasonable complexity, whereas in similar problems in motion compensated video only approximate solutions are feasible.
Proceedings ArticleDOI

Compression of stereo image pairs and streams

TL;DR: In this paper, the authors exploit the correlations between 3D-stereoscopic left-right image pairs to achieve high compression factors for imageframe storage and image stream transmission, and they find extremely high correlations between left- right frames offset in time such that perspective-induced disparity between viewpoints and motion-induced parallax from a single viewpoint are nearly identical; they coin the term "WoridLine correlation" for this condition.
Journal ArticleDOI

A hybrid scheme for low bit-rate coding of stereo images

TL;DR: The algorithm effectively combines the simplicity and adaptability of the existing block based stereo image compression techniques with an edge/contour based object extraction technique to determine appropriate compression strategy for various areas of the right image.
Dissertation

Multiple viewpoint rendering for three-dimensional displays

TL;DR: A new algorithm, multiple viewpoint rendering (MVR), is described which produces an equivalent set of images one to two orders of magnitude faster than previous approaches by considering the image set as a single spatio-perspective volume.
Journal Article

Compression and Representation of 3-D Images

TL;DR: More general platform for the 3-D image representation is introduced, aiming to outgrow the framework of 3- D “image” communication and to open up a novel field of technology, which should be called the “spatial’ communication.
References
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Multiresolution based hierarchical disparity estimation for stereo image pair compression

TL;DR: A multiresolution based approach is proposed for compressing 'still' stereo image pairs and the typical computational gains and compression ratios possible with this approach are provided.
Proceedings ArticleDOI

Compression Of Stereo Images And The Evaluation Of Its Effects On 3-D Perception

TL;DR: The proposed approach to stereo image coding takes advantage of the singleness of vision property of the human visual system and shows that a stereo image pair, in which one of the images is low-pass filtered and subsampled, is perceived as a sharp 3-D image.
Proceedings ArticleDOI

Subjective image position in stereoscopic TV systems: considerations on comfortable stereoscopic images

TL;DR: In this article, the subjective image position was measured for geometric figures and actual scenes while varying the resolution, contrast, brightness, and color between the L- and R-pictures.
Proceedings ArticleDOI

Stereo-enhanced displacement estimation by genetic block matching

TL;DR: In this article, a block based vector field estimation technique based on a genetic algorithm was proposed to accelerate the convergence of the vector field. But the accuracy of the estimation was not compromised.