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    A hybrid scheme for low-bit rate stereo image compression

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    Publication date
    2009-05-29T08:43:42Z
    Author
    Jiang, Jianmin
    Edirisinghe, E.A.
    Keyword
    Stereo image processing
    Data compression
    Decoding
    Feature extraction
    Image Reconstruction
    Video Coding
    Hybrid
    Low bit rate
    Peer-Reviewed
    Yes
    
    Metadata
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    Abstract
    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
    URI
    http://hdl.handle.net/10454/2717
    Version
    No full-text available in the repository
    Citation
    Jiang, J., Edirisinghe, E. A. (2002). A hybrid scheme for low-bit rate stereo image compression. IEEE Transactions on Image Processing, Vol. 11, No. 2, pp. 123-134.
    Link to publisher’s version
    10.1109/83.982820
    Type
    Article
    Collections
    Engineering and Informatics Publications

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