Sciweavers

114 search results - page 8 / 23
» Discrete Denoising with Shifts
Sort
View
ICPR
2006
IEEE
14 years 8 months ago
Classifiers for Motion
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...
IJCV
2011
163views more  IJCV 2011»
12 years 10 months ago
Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniï...
Simon Setzer
ICC
2007
IEEE
150views Communications» more  ICC 2007»
14 years 1 months ago
Capacity-Achieving Discrete Signaling over Additive Noise Channels
— Discrete input distributions are capacity-achieving for a variety of noise distributions whenever the input is subject to peak power or other bounding constraints. In this pape...
Anke Feiten, Rudolf Mathar
ISCAS
2007
IEEE
114views Hardware» more  ISCAS 2007»
14 years 1 months ago
On the Suitability of Discrete-Time Receivers for Software-Defined Radio
—CMOS radio receiver architectures, based on radio frequency (RF) sampling followed by discrete-time (D-T) signal processing via switched-capacitor circuits, have recently been p...
Zhiyu Ru, Eric A. M. Klumperink, Bram Nauta
IWCM
2004
Springer
14 years 22 days ago
Wiener-Optimized Discrete Filters for Differential Motion Estimation
Abstract. Differential motion estimation is based on detecting brightness changes in local image structures. Filters approximating the local gradient are applied to the image seque...
Kai Krajsek, Rudolf Mester