Combining Seminorms in Adaptive Lifting Schemes and Applications to Image Analysis and Compression
Journal of Mathematical Imaging and Vision
Perceptual optimization for scalable video compression based on visual masking principles
IEEE Transactions on Circuits and Systems for Video Technology
Image enhancement via space-adaptive lifting scheme exploiting subband dependency
Digital Signal Processing
Distortion estimates for adaptive lifting transforms with noise
Image and Vision Computing
Adaptive lifting schemes with perfect reconstruction
IEEE Transactions on Signal Processing
Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders
IEEE Transactions on Signal Processing
Operational rate-distortion modeling for wavelet video coders
IEEE Transactions on Signal Processing
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Cross-Layer Optimized Video Streaming Over Wireless Multihop Mesh Networks
IEEE Journal on Selected Areas in Communications
Nonlinear wavelet transforms for image coding via lifting
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Highly scalable video compression with scalable motion coding
IEEE Transactions on Image Processing
Design of signal-adapted multidimensional lifting scheme for lossy coding
IEEE Transactions on Image Processing
Embedded Multiple Description Coding of Video
IEEE Transactions on Image Processing
Rate-Distortion Optimized Motion-Compensated Prediction for Packet Loss Resilient Video Coding
IEEE Transactions on Image Processing
4-D Wavelet-Based Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Scalable Motion Vector Coding Based on CABAC for MC-EZBC
IEEE Transactions on Circuits and Systems for Video Technology
State-of-the-Art and Trends in Scalable Video Compression With Wavelet-Based Approaches
IEEE Transactions on Circuits and Systems for Video Technology
Barbell-Lifting Based 3-D Wavelet Coding Scheme
IEEE Transactions on Circuits and Systems for Video Technology
Distortion estimates for adaptive lifting transforms with noise
Image and Vision Computing
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Multimedia analysis, enhancement and coding methods often resort to adaptive transforms that exploit local characteristics of the input source. Following the signal decomposition stage, the produced transform coefficients and the adaptive transform parameters can be subject to quantization and/or data corruption (e.g. due to transmission or storage limitations). As a result, mismatches between the analysis- and synthesis-side transform coefficients and adaptive parameters may occur, severely impacting the reconstructed signal and therefore affecting the quality of the subsequent analysis, processing and display task. Hence, a thorough understanding of the quality degradation ensuing from such mismatches is essential for multimedia applications that rely on adaptive signal decompositions. This paper focuses on lifting-based adaptive transforms that represent a broad class of adaptive decompositions. By viewing the mismatches in the transform coefficients and the adaptive parameters as perturbations in the synthesis system, we derive analytic expressions for the expected reconstruction distortion. Our theoretical results are experimentally assessed using 1D adaptive decompositions and motion-adaptive temporal decompositions of video signals.