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» Non-parametric image super-resolution using multiple images
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CVPR
2012
IEEE
13 years 8 months ago
Semantic segmentation using regions and parts
We address the problem of segmenting and recognizing objects in real world images, focusing on challenging articulated categories such as humans and other animals. For this purpos...
Pablo Arbelaez, Bharath Hariharan, Chunhui Gu, Sau...
ICIP
2008
IEEE
16 years 8 months ago
Subspace-based methods for image registration and super-resolution
Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domai...
Patrick Vandewalle, Loïc Baboulaz, Pier Luigi...
ICPR
2004
IEEE
16 years 7 months ago
Extending Dynamic Range of Two Color Images under Different Exposures
We present a method of extending the dynamic range of an picture with two different exposure images. Since pictures under different exposure times show different scene dynamic ran...
Ki-Sang Hong, Won-ho Cho
ICIP
2006
IEEE
16 years 8 months ago
Unsupervised Image Layout Extraction
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
David Liu, Datong Chen, Tsuhan Chen
PICS
2003
15 years 7 months ago
Illuminant Multiplexed Imaging: Basics and Demonstration
We present a novel spectral imaging technique that allows multiple gray-scale images to be combined in a single hardcopy print. The images are individually revealed when the print...
Gaurav Sharma, Robert P. Loce, Steven J. Harringto...