Elements of information theory
Elements of information theory
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
An Interior Point Algorithm for Large-Scale Nonlinear Programming
SIAM Journal on Optimization
Model Based Optimal Bit Allocation
DCC '04 Proceedings of the Conference on Data Compression
Modified SPIHT algorithm for wavelet packet image coding
Real-Time Imaging - Special issue on multi-dimensional image processing
Coding of multi-view images for immersive viewing
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Three-dimensional lifting schemes for motion compensated video compression
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Analysis of low bit rate image transform coding
IEEE Transactions on Signal Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Source model for transform video coder and its application. I. Fundamental theory
IEEE Transactions on Circuits and Systems for Video Technology
Bit-rate control using piecewise approximated rate-distortion characteristics
IEEE Transactions on Circuits and Systems for Video Technology
Multi-view coding for image-based rendering using 3-D scene geometry
IEEE Transactions on Circuits and Systems for Video Technology
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This paper studies the distortion and the model-based bit allocation scheme of wavelet lifting-based multiview image coding. Redundancies among image views are removed by disparity-compensated wavelet lifting (DCWL). The distortion prediction of the low-pass and high-pass subbands of each image view from the DCWL process is analyzed. The derived distortion is used with different rate distortion models in the bit allocation of multiview images. Rate distortion models including power model, exponential model, and the proposed combining the power and exponential models are studied. The proposed rate distortion model exploits the accuracy of both power and exponential models in a wide range of target bit rates. Then, low-pass and high-pass subbands are compressed by SPIHT (Set Partitioning in Hierarchical Trees) with a bit allocation solution. We verify the derived distortion and the bit allocation with several sets of multiview images. The results show that the bit allocation solution based on the derived distortion and our bit allocation scheme provide closer results to those of the exhaustive search method in both allocated bits and peak-signal-to-noise ratio (PSNR). It also outperforms the uniform bit allocation and uniform bit allocation with normalized energy in the order of 1.7-2 and 0.3-1.4 dB, respectively.