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» Sparse Gradient Image Reconstruction Done Faster
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PAMI
2010
337views more  PAMI 2010»
13 years 4 months ago
Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
Kwang In Kim, Younghee Kwon
ICASSP
2011
IEEE
12 years 9 months ago
SSIM-inspired image denoising using sparse representations
Perceptual image quality assessment (IQA) and sparse signal representation have recently emerged as high-impact research topics in the field of image processing. Here we make one...
Abdul Rehman, Zhou Wang, Dominique Brunet, Edward ...
ICASSP
2011
IEEE
12 years 9 months ago
Computationally efficient regularized acoustic imaging
Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Flavio P. Ribeiro, Vitor H. Nascimento
ICPR
2008
IEEE
14 years 6 months ago
Accelerating active contour algorithms with the Gradient Diffusion Field
Active contours were proposed by Kass et al. as a way to represent the contours of an image. Although the method is simple, one of its shortcomings is its inability to converge in...
Willie Kiser, Pradeep Sen, Chris Musial
WACV
2005
IEEE
13 years 11 months ago
Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images
Instead of the conventional background and foreground definition, we propose a novel method that decomposes a scene into time-varying background and foreground intrinsic images. T...
Fatih Murat Porikli