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» Noise in high dynamic range imaging
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MVA
2007
197views Computer Vision» more  MVA 2007»
13 years 6 months ago
A Simple Tone Mapping for High Dynamic Range Image Visualization Using a Pseudo-Hilbert Scan
The Hilbert curve is one of space-filling curves published by G. Peano. There are several applications using this curve, such as image processing, computer graphics, etc. In this ...
Jian Zhang, Sei-ichiro Kamata, Li Tian
ICIP
2006
IEEE
14 years 7 months ago
Ghost Removal in High Dynamic Range Images
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appea...
Ahmet Oguz Akyüz, Erik Reinhard, Erum Arif Kh...
CORR
2011
Springer
259views Education» more  CORR 2011»
13 years 9 days ago
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
CVPR
2004
IEEE
14 years 7 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
WSCG
2003
165views more  WSCG 2003»
13 years 6 months ago
High Dynamic Range Image Display Using Level Set Framework
This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR ...
R. Xu, Sumanta N. Pattanaik