Block-based frequency scalable technique for efficient hierarchical coding

In this paper, we propose a block-based frequency scalable technique for efficient hierarchical coding. The proposed technique divides an image into its multiple resolution versions, based on the spectral properties of discrete cosine transform (DCT) kernels. We present that spectral decomposition,...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2006-07, Vol.54 (7), p.2559-2566
Main Authors: Jooheung Lee, Vijaykrishnan, N., Irwin, M.J., Chandramouli, R.
Format: Article
Language:English
Subjects:
Applied sciences
Architecture
Blocking
Coders
Coding
Computational complexity
Discrete cosine transform (DCT)
Discrete cosine transforms
Discrete transforms
Exact sciences and technology
Frequency
hierarchical coding
Image processing
Image resolution
image/video coding
Information, signal and communications theory
Kernel
Matrices
Matrix decomposition
Miscellaneous
Preserves
PSNR
scalable coding
Signal processing
Signal resolution
Spectra
Telecommunications and information theory
Two dimensional displays
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Summary:In this paper, we propose a block-based frequency scalable technique for efficient hierarchical coding. The proposed technique divides an image into its multiple resolution versions, based on the spectral properties of discrete cosine transform (DCT) kernels. We present that spectral decomposition, downsampling, and DCT operations are performed effectively over input DCT coefficients of one-dimensional (1-D) and two-dimensional (2-D) signals by using the proposed transform matrices. The proposed image coder is observed to reduce the computational complexity and the memory buffer size with a higher peak signal-to-noise ratio (PSNR), when compared with the traditional hierarchical image coder. In addition, the proposed architecture can preserve compatibility easily with the previous DCT-based image coder
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2006.874806