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ICMCS
2007
IEEE
319views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Bilateral Back-Projection for Single Image Super Resolution
In this paper, a novel algorithm for single image super resolution is proposed. Back-projection [1] can minimize the reconstruction error with an efficient iterative procedure. A...
Shengyang Dai, Mei Han, Ying Wu, Yihong Gong
ICIP
2009
IEEE
14 years 7 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
ITCC
2003
IEEE
15 years 3 months ago
Stochastic Image Compression Using Fractals
Fractal objects like Sierpinski triangle and Fern have very high visual complexity and low storage-information content. For generating computer graphic images and compression of s...
Aditya Kapoor, Kush Arora, Ajai Jain, G. P. Kapoor
ICIP
2008
IEEE
15 years 11 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...
JMLR
2010
367views more  JMLR 2010»
14 years 4 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni