Algorithm for compression of stereo image pairs

Jiang, Jianliang; Edirisinghe, Eran A.; Schröder, H.

doi:10.1049/el:19970736

Cited by 9 publications

(18 citation statements)

References 1 publication

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“…The results shown in Table 1 for the proposed algorithm are produced by limiting the further thresholding of matched object internal areas to one additional step. In other words, if the sub-objects formed by one more step of thresholding for the internal areas do not satisfy the matching criteria, the pioneering block based prediction scheme [3,4] is used to encode the errors. A search window size of [16 (horizontal), 0 (vertical)] has been used for both algorithms.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…The process is continued until the MSE for all identified objects fall below the threshold or the maximum number of iterations is achieved. In the latter case, the internal area errors are encoded using a pioneering block based prediction technique [3][4]. The arbitrary shaped boundary blocks of the right object plane are encoded using a special shape adaptive coding scheme (4.2).…”

Section: An Overview Of the Proposed Algorithmmentioning

confidence: 99%

“…The average disparity value, however, is always transmitted along with other object parameters, in order to decode the internal right blocks. If the internal texture is not smooth, the decision would be either to go into further levels of object extraction or to use the pioneering block based technique [3][4] to encode those internal blocks. In this way, only error blocks are encoded without sending any disparity values.…”

Section: Disparity-based Predictionmentioning

confidence: 99%

“…Fundamentally, there are two different ways to estimate the disparity field of a stereo image pair: the intensity based method and the object/feature based method. The first looks for correspondence between luminance values [1][2][3][4][5][6], and the second determines a set of objects/features in both images and seeks correspondence between the two sets [10,15].…”

Section: Introductionmentioning

confidence: 99%

“…Several authors [1][2][3][4][5][6] have proposed block-based stereo image compression algorithms. These algorithms have the advantage of being simple and being easily adaptable for being used in association with standard image compression techniques (JPEGs and MPEGs) [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

<title>Object-driven block-based algorithm for the compression of stereo image pairs</title>

1999

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Section: Experimental Results and Analysismentioning

confidence: 99%

Section: An Overview Of the Proposed Algorithmmentioning

confidence: 99%

Section: Disparity-based Predictionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

<title>Object-driven block-based algorithm for the compression of stereo image pairs</title>

1999

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A wavelet implementation of the pioneering block-based disparity compensated predictive coding algorithm for stereo image pair compression

Edirisinghe

Nayan

Bez

2004

Signal Processing: Image Communication

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

Jiang

Edirisinghe

2002

IEEE Trans. on Image Process.

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In this paper, we propose a hybrid scheme to implement an object driven, block based algorithm to achieve low bit-rate compression of stereo image pairs. 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. Unlike the existing object-based coding such as MPEG-4 developed in the video compression community, the proposed scheme does not require any additional shape coding. Instead, the arbitrary shape is reconstructed by the matching object inside the left frame, which has been encoded by standard JPEG algorithm and hence made available at the decoding end for those shapes in right frames. Yet the shape reconstruction for right objects incurs no distortion due to the unique correlation between left and right frames inside stereo image pairs and the nature of the proposed hybrid scheme. Extensive experiments carried out support that significant improvements of up to 20% in compression ratios are achieved by the proposed algorithm in comparison with the existing block-based technique, while the reconstructed image quality is maintained at a competitive level in terms of both PSNR values and visual inspections.

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Algorithm for compression of stereo image pairs

Cited by 9 publications

References 1 publication

<title>Object-driven block-based algorithm for the compression of stereo image pairs</title>

<title>Object-driven block-based algorithm for the compression of stereo image pairs</title>

A wavelet implementation of the pioneering block-based disparity compensated predictive coding algorithm for stereo image pair compression

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

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