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» Adaptive Image Filtering Using Run-Time Reconfiguration
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ECCV
2004
Springer
14 years 9 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
TIP
1998
135views more  TIP 1998»
13 years 7 months ago
Adaptive weighted highpass filters using multiscale analysis
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a w...
Robert D. Nowak, Richard G. Baraniuk
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
13 years 9 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...
DATE
2009
IEEE
155views Hardware» more  DATE 2009»
13 years 11 months ago
Automatically mapping applications to a self-reconfiguring platform
The inherent reconfigurability of SRAM-based FPGAs enables the use of configurations optimized for the problem at hand. Optimized configurations are smaller and faster than their g...
Karel Bruneel, Fatma Abouelella, Dirk Stroobandt
ICIP
2002
IEEE
14 years 9 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders