Bayesian Estimation of Motion Vector Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markov random field models in computer vision
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Markov random field modeling in computer vision
Markov random field modeling in computer vision
Image processing and data analysis: the multiscale approach
Image processing and data analysis: the multiscale approach
Stereo Image Coder Based on MRF Analysis for Disparity Estimation and Morphological Encoding
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Stereo image coding: a projection approach
IEEE Transactions on Image Processing
Significance-linked connected component analysis for wavelet image coding
IEEE Transactions on Image Processing
Image coding based on a morphological representation of wavelet data
IEEE Transactions on Image Processing
A hybrid scheme for low bit-rate coding of stereo images
IEEE Transactions on Image Processing
The application of mean field theory to image motion estimation
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
Optimal blockwise dependent quantization for stereo image coding
IEEE Transactions on Circuits and Systems for Video Technology
An efficient two-pass MAP-MRF algorithm for motion estimation based on mean field theory
IEEE Transactions on Circuits and Systems for Video Technology
Overlapped block disparity compensation with adaptive windows for stereo image coding
IEEE Transactions on Circuits and Systems for Video Technology
A family of wavelet-based stereo image coders
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a stereoscopic image coder based on the MRF model and MAP estimation of the disparity field. The MRF model minimizes the noise of disparity compensation, because it takes into account the residual energy, smoothness constraints on the disparity field, and the occlusion field. Disparity compensation is formulated as an MAP-MRF problem in the spatial domain, where the MRF field consists of the disparity vector and occlusion fields. The occlusion field is partitioned into three regions by an initial double-threshold setting. The MAP search is conducted in a block-based sense on one or two of the three regions, providing faster execution. The reference and residual images are decomposed by a discrete wavelet transform and the transform coefficients are encoded by employing the morphological representation of wavelet coefficients algorithm. As a result of the morphological encoding, the reference and residual images together with the disparity vector field are transmitted in partitions, lowering total entropy. The experimental evaluation of the proposed scheme on synthetic and real images shows beneficial performance over other stereoscopic coders in the literature.