Progressive image coding using set partitioning in hierarchical tree algorithm and embedded trellis-coded quantiser

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Progressive image coding using set partitioning in hierarchical tree algorithm and embedded trellis-coded quantiser

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A progressive image-coding algorithm that uses a combination of the set partitioning in hierarchical tree (SPIHT) algorithm and an embedded trellis-coded quantiser (E-TCQ) is proposed. Using the hierarchical quadtree structure, a significant map of coefficients is encoded. The E-TCQ is then used to refine the amplitude of the significant pixels. Results are obtained using the proposed method. It is shown that this method gives good performance, with very little increase in computational complexity and storage memory.

Inspec keywords: trellis codes; quadtrees; quantisation (signal); image coding; computational complexity

Other keywords: embedded trellis-coded quantiser; significant map of coefficients encoding; computational complexity; SPIHT algorithm; set partitioning in hierarchical tree algorithm; progressive image-coding algorithm; hierarchical quadtree structure

Subjects: Computer vision and image processing techniques; Image and video coding

References

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      • H. Jafarkhani , V. Tarokh . Design of successively refinable trellis-coded quantizers. IEEE Trans. Inf. Theory , 5
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      • Mukherjee, D., Mitra, S.K.: `Vector set partitioning with successive refinement Voronoi lattice VQfor embedded wavelet image coding', Proc. ICIP, 1998, 1, p. 107–111.
    3. 3)
      • A. Said , W.A. Pearlman . A new, fast, and efficient image codec based on set partitioning in hierarchicaltrees. IEEE Trans. Circuits Syst. Video Technol. , 3 , 243 - 250
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      • A. Bilgin , P.J. Sementili , M.W. Marcellin . Progressive image coding using trellis coded quantization. IEEE Trans. Image Process. , 11 , 1638 - 1643
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      • M.W. Marcellin , T.R. Fisher . Trellis coded quantization of memoryless and Gaussian Markov source. IEEE Trans. Commun. , 1 , 82 - 93
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