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» Adaptive Image Reconstruction Using Information Measures
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SIPS
2008
IEEE
15 years 4 months ago
Efficient image reconstruction using partial 2D Fourier transform
In this paper we present an efficient way of doing image reconstruction using the 2D Discrete Fourier transform (DFT). We exploit the fact that in the frequency domain, informati...
Lanping Deng, Chi-Li Yu, Chaitali Chakrabarti, Jun...
ICIP
2008
IEEE
15 years 11 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
63
Voted
ICASSP
2007
IEEE
15 years 4 months ago
An Adaptive Algorithm for Sampling Two-Dimensional Fields using Mobile Sensors
In this paper, we propose an adaptive algorithm for sampling and reconstructing two-dimensional fields using mobile sensors that can move to designated locations to collect measu...
Huiyu Luo, Xiangming Kong, Gregory J. Pottie
85
Voted
ICIP
2010
IEEE
14 years 7 months ago
Plenoptic based super-resolution for omnidirectional image sequences
This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In or...
Luigi Bagnato, Yannick Boursier, Pascal Frossard, ...
ICPR
2010
IEEE
14 years 7 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja