DCC '97 Proceedings of the Conference on Data Compression
Embedded Image Coding Using ZeroBlocks of Subband/Wavelet Coefficients and Context Modeling
DCC '01 Proceedings of the Data Compression Conference
Modified SPIHT algorithm for wavelet packet image coding
Real-Time Imaging - Special issue on multi-dimensional image processing
Spherical coding algorithm for wavelet image compression
IEEE Transactions on Image Processing
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Space-frequency quantization for wavelet image coding
IEEE Transactions on Image Processing
Comparison of different methods of classification in subband coding of images
IEEE Transactions on Image Processing
Wavelet packet image coding using space-frequency quantization
IEEE Transactions on Image Processing
A modified SPIHT algorithm for image coding with a joint MSE and classification distortion measure
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
Morphological dilation image coding with context weights prediction
Image Communication
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In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes. Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients. Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger subsets. The class assignments are optimized using a rate-distortion cost analysis. The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree. Context-adaptive arithmetic coding is used to improve coding efficiency. The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature.