This paper validates a recognition system using bidimensional wavelet transforms as feature extractor and investigates the relevance of each subband image in the recognition proce...
In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [?] to include an adaptive transform component. For ...
Wavelet packets are an effective representation tool for adaptive waveform analysis of a given signal. We first combine the wavelet packet representation with zerotree quantizatio...
We propose a new wavelet-based method for im age denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Loc...
Aleksandra Pizurica, Wilfried Philips, Ignace Lema...
We introduce a new wavelet image coder which is the forward-adaptive counterpart of the state-of-the-art backward-adaptive Estimation-Quantization coder. The variance field associ...
Anthony F. Docimo, Kannan Ramchandran, Mehmet Kiva...
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Shift variance and poor directional selectivity, two major disadvantages of the discrete wavelet transform, have previously been circumvented either by using highly redundant, non...
Rutger L. van Spaendonck, Felix C. A. Fernandes, S...
This paper presents a novel framework of motion compensated pre&ction(MCP) techniques in the wavelet domain for high performance video coding. Our analysis reveals fundamental...
Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an ima...
Justin K. Romberg, Michael B. Wakin, Hyeokho Choi,...
In this paper, we propose an efficient low complexity compression scheme for densely sampled irregular 3D meshes. This scheme is based on 3D multiresolution analysis (3D Discrete ...