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VIS
2004
IEEE
111views Visualization» more  VIS 2004»
14 years 8 months ago
Importance-Driven Volume Rendering
This paper introduces importance-driven volume rendering as a novel technique for automatic focus and context display of volumetric data. Our technique is a generalization of cut-...
Armin Kanitsar, Eduard Gröller, Ivan Viola
ICIP
2010
IEEE
13 years 5 months ago
Filterbank-based universal demosaicking
Recent advances in spatio-spectral sampling and panchromatic pixels have contributed to increased spatial resolution and enhanced noise performance. As such, it is necessary to co...
Jing Gu, Patrick J. Wolfe, Keigo Hirakawa
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 months ago
A New Trend in Optimization on Multi Overcomplete Dictionary toward Inpainting
1 Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity...
Seyyed Majid Valiollahzadeh, Mohammad Nazari, Mass...
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
CVPR
2011
IEEE
13 years 5 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li