Elements of information theory
Elements of information theory
Multirate systems and filter banks
Multirate systems and filter banks
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Sequential Design of Multiple Description Scalar Quantizers
DCC '04 Proceedings of the Conference on Data Compression
Multiple description coding with prediction compensation
IEEE Transactions on Image Processing
New coding schemes for the symmetric K -description problem
IEEE Transactions on Information Theory
Lapped transform via time-domain pre- and post-filtering
IEEE Transactions on Signal Processing
Globally optimal uneven error-protected packetization of scalable code streams
IEEE Transactions on Multimedia
Index assignment for multichannel communication under failure
IEEE Transactions on Information Theory
Achievable rates for multiple descriptions
IEEE Transactions on Information Theory
Multiple description coding with many channels
IEEE Transactions on Information Theory
n-channel symmetric multiple descriptions-part II: An achievable rate-distortion region
IEEE Transactions on Information Theory
Design of multiple description scalar quantizers
IEEE Transactions on Information Theory
Real-time unequal error protection algorithms for progressive image transmission
IEEE Journal on Selected Areas in Communications
Multiple description coding using pairwise correlating transforms
IEEE Transactions on Image Processing
Context-based entropy coding of block transform coefficients for image compression
IEEE Transactions on Image Processing
Wiener Filter-Based Error Resilient Time-Domain Lapped Transform
IEEE Transactions on Image Processing
Multiple Description Image Coding Based on Lagrangian Rate Allocation
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
-Channel Multiple Description Coding With Two-Rate Coding and Staggered Quantization
IEEE Transactions on Circuits and Systems for Video Technology
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A three-layer scheme is developed for M-channel multiple description image coding. In each description, a subset of the source is encoded in the first layer. In the second layer, the remaining subsets are encoded sequentially by predicting from the already encoded subsets. Each description can thus produce a coarse reconstruction of the source. When multiple descriptions are received, a refined reconstruction is obtained by fusing all coarse reconstructions. A third layer is further included to refine the reconstruction when only one description is lost, which dominates when the probability of channel error is low. We first derive the closed-form expressions of the expected distortion of the system for 1-D sources. The proposed scheme is then applied to lapped transform-based image coding, where we formulate and obtain the optimal lapped transform. Image coding results show that the proposed method outperforms other latest schemes.