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DPHOTO
2009
131views Hardware» more  DPHOTO 2009»
14 years 9 months ago
Interaction of image noise, spatial resolution, and low contrast fine detail preservation in digital image processing
We present a method to improve the validity of noise and resolution measurements on digital cameras. If non-linear adaptive noise reduction is part of the signal processing in the...
Uwe Artmann, Dietmar Wueller
85
Voted
SSIAI
2002
IEEE
15 years 4 months ago
New Image Processing Models for Opacity Image Analysis in Chest Radiographs
The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (R...
Marios S. Pattichis, Harini Muralidharan, Constant...
ICANN
2005
Springer
15 years 5 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
15 years 9 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
ICRA
2008
IEEE
156views Robotics» more  ICRA 2008»
15 years 6 months ago
Removal of adherent noises from image sequences by spatio-temporal image processing
Abstract— This paper describes a method for removing adherent noises from image sequences. In outdoor environments, it is often the case that scenes taken by a camera are deterio...
Atsushi Yamashita, Isao Fukuchi, Toru Kaneko, Kenj...