Smart wavelet image coding: X-tree approach
Signal Processing
Trees, Windows, and Tiles for Wavelet Image Compression
DCC '00 Proceedings of the Conference on Data Compression
An improved optimal bit allocation method for sub-band coding
Pattern Recognition Letters
Image-based relighting: representation and compression
Integrated image and graphics technologies
Data compression with spherical wavelets and wavelets for the image-based relighting
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Noise-Resistant Fitting for Spherical Harmonics
IEEE Transactions on Visualization and Computer Graphics
Reduced-complexity deterministic annealing for vector quantizer design
EURASIP Journal on Applied Signal Processing
Spherical coding algorithm for wavelet image compression
IEEE Transactions on Image Processing
Hierarchical quantization indexing for wavelet and wavelet packet image coding
Image Communication
A hierarchical Bayesian model for frame representation
IEEE Transactions on Signal Processing
Comparison of different wavelet coder
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Adaptive Compressed Image Sensing Using Dictionaries
SIAM Journal on Imaging Sciences
A Review of Image and Video Coding Standards
Fundamenta Informaticae
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This paper investigates various classification techniques, applied to subband coding of images, as a way of exploiting the nonstationary nature of image subbands. The advantages of subband classification are characterized in a rate-distortion framework in terms of “classification gain” and overall “subband classification gain.” Two algorithms, maximum classification gain and equal mean-normalized standard deviation classification, which allow unequal number of blocks in each class, are presented. The dependence between the classification maps from different subbands is exploited either directly while encoding the classification maps or indirectly by constraining the classification maps. The trade-off between the classification gain and the amount of side information is explored. Coding results for a subband image coder based on classification are presented. The simulation results demonstrate the value of classification in subband coding