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» Empirical Type-i filter design for image interpolation
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ICASSP
2010
IEEE
13 years 4 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
ICCV
2001
IEEE
14 years 6 months ago
Empirical Filter Estimation for Subpixel Interpolation and Matching
We study the low-level problem of predicting pixel intensities after subpixel image translations. This is a basic subroutine for image warping and super-resolution, and it has a c...
Bill Triggs
CVPR
2010
IEEE
14 years 26 days ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
APCCAS
2006
IEEE
253views Hardware» more  APCCAS 2006»
13 years 10 months ago
Design of Optimal Decimation and Interpolation Filters for Low Bit-Rate Image Coding
— The DCT-based JPEG standard is certainly one of the most successful applications of transform coding methods for still digital images. A commonly recognized disadvantage of the...
Wu-Sheng Lu, A.-M. Sevcenco
ACCV
2009
Springer
13 years 8 months ago
Refined Exponential Filter with Applications to Image Restoration and Interpolation
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao