Recently, adaptive interpolation filter (AIF) has received increasing attention for motion-compensated prediction (MCP). The existing methods code the filter coefficients individu...
Originally, the hierarchical coding structure was proposed to achieve temporal scalability. Soon after, it was realized that with a proper quantization parameter cascading (QPC) s...
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per s...
Three-directional box-splines are particularly well-suited to interpolate and approximate hexagonally sampled data. In this paper, we propose a computationally efficient end-toend...
Laurent Condat, Dimitri Van De Ville, Michael Unse...
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...