A hierarchical picture coding scheme
Pattern Recognition
A pyramid image coder using classified transform vector quantization
Signal Processing
Multiresolution image representation using combined 2-D and 1-D directional filter banks
IEEE Transactions on Image Processing
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Spatially scalable video compression employing resolution pyramids
IEEE Journal on Selected Areas in Communications
An image multiresolution representation for lossless and lossy compression
IEEE Transactions on Image Processing
Image compression using binary space partitioning trees
IEEE Transactions on Image Processing
Optimal pyramidal and subband decompositions for hierarchical coding of noisy and quantized images
IEEE Transactions on Image Processing
A progressive transmission image coder using linear phase uniform filterbanks as block transforms
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
A segmentation-based predictive multiresolution image coder
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
A framework for efficient progressive fine granularity scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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Hierarchical image coding usually codes a down-sampled version of an original image and then the difference between the original image and a reconstructed version that is interpolated from the down-sampled layer. In this paper, we demonstrate, for the first time, that when the bit-rate used to code the residual layer falls into a critical region (which covers almost all typical bit-rates used in practice), it often happens that all pixels in the down-sampled layer would be deteriorated if the corresponding coded residuals are added into them. To avoid this problem, we first propose a ''naive'' solution: no coded residuals will be added back into the down-sampled layer; whereas coded residuals will be added only into the interpolated pixels. Then, we propose to apply a constrained quantization technique during the coding of the residual layer so that all residual pixels at the interpolated positions will end up with an improved quality. To verify its effectiveness, we conduct extensive tests to show that the gap between the hierarchical coding scheme and its single-level counterpart (which is typically around 2-3dB in the 2-level hierarchy) will be filled up by a rather big percentage.