A multiresolution framework for stereoscopic image sequence compression

Sethuraman, Sriram; Siegel, Mel; Jordan, A. G.

doi:10.1109/icip.1994.413592

Cited by 23 publications

(18 citation statements)

References 6 publications

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“…The specific references that we cite in the text and the general references that we also include in the bibliography point to background literature, as well as to three recent papers [1,2,3] in which we document the low level details of our recent work.…”

Section: Introductionmentioning

confidence: 99%

<title>Compression of stereo image pairs and streams</title>

Siegel

Gunatilake

Sethuraman

et al. 1994

Stereoscopic Displays and Virtual Reality Systems

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We exploit the correlations between 3D-stereoscopic left-right image pairs to achieve high compression factors for image frame storage and image stream transmission. In particular, in image stream transmission, we can find extremely high correlations between left-right frames offset in time such that perspective-induced disparity between viewpoints and motioninduced parallax from a single viewpoint are nearly identical; we coin the term "WorldLine correlation" for this condition. We test these ideas in two implementations, (1) straightforward computing of blockwise cross-correlations, and (2) multiresolution hierarchical matching using a wavelet-based compression method. We find that good 3D-stereoscopic imagery can be had for only a few percent more storage space or transmission bandwidth than is required for the corresponding flat imagery.

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Section: Introductionmentioning

confidence: 99%

<title>Compression of stereo image pairs and streams</title>

Siegel

Gunatilake

Sethuraman

et al. 1994

Stereoscopic Displays and Virtual Reality Systems

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“…The most general implementation method for motion/disparity estimation is BMA which is used in motion estimation of MPEG standard [3][4][5]. Recently, several stereoscopic video compression schemes have been developed by using multi-resolution based BMA in order to reduce a searching complexity of vectors and hierarchical disparity estimation which uses variable block size instead of using fixed block size, to raise accuracy of disparity estimation [6] [7]. Most of the compression techniques of stereo video mainly focused on the developing the modified coding algorithm using the MPEG-2 multi-view profile [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Scalable Stereo Video Coding for Heterogeneous Environments

Oh¹,

Lee²,

Woo³

2004

Interactive Multimedia and Next Generation Networks

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Abstract. In this paper, we propose a new stereo video coding scheme for heterogeneous consumer devices by exploiting the concept of spatio-temporal scalability. We use MPEG standard for coding the main sequence and interpolative prediction scheme for predicting the P-and B-type pictures of the auxiliary sequence. The interpolative scheme predicts matching blocks by interpolating both motion predicted macro-block and disparity predicted macro-block and employs weighting factors to minimize the residual errors. To provide flexible stereo video service, we define both a temporally scalable layer and a spatially scalable layer for each eye's view. The experimental results show the efficiency of proposed scheme by comparison with already known methods and advantages of disparity estimation in the view of scalability overhead. According to the experimental results, we expect the proposed functionalities will play a key role in establishing highly flexible stereo video service for ubiquitous display environment where device and network connections are heterogeneous.

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“…All the mathematical methods for the sake of compression only consider this intensity data as raw data. [11,12]. To give strength to compression process linear algebra techniques are used.…”

mentioning

confidence: 99%

Lossless image compression technique using haar wavelet and vector transform

2016

IJLTET

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A multiresolution framework for stereoscopic image sequence compression

Cited by 23 publications

References 6 publications

<title>Compression of stereo image pairs and streams</title>

<title>Compression of stereo image pairs and streams</title>

Scalable Stereo Video Coding for Heterogeneous Environments

Lossless image compression technique using haar wavelet and vector transform

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