DAGM 2008 - PDF Preprint Papers

DAGM 2008 Digital Bildverarbeitung - Digital Image Processing

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DAGM
2008
Springer

270views Image Processing» more DAGM 2008»

Example-Based Learning for Single-Image Super-Resolution

14 years 1 months ago

Download www.kyb.mpg.de

Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...

Kwang In Kim, Younghee Kwon

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Id	Views	Title	Status

1	270	Example-Based Learning for Single-Image Super-Resolution	claim
2	250	A Multiple Kernel Learning Approach to Joint Multi-class Object Detection	claim
3	247	Comparing Local Feature Descriptors in pLSA-Based Image Models	claim
4	242	Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation	claim
5	207	Model-Based Motion Capture for Crash Test Video Analysis	claim
6	202	Optical Rails	claim
7	196	Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting	claim
8	191	Boosting for Model-Based Data Clustering	claim
9	181	Efficient Tracking as Linear Program on Weak Binary Classifiers	claim
10	178	An Unbiased Second-Order Prior for High-Accuracy Motion Estimation	claim
11	166	3D Body Scanning in a Mirror Cabinet	claim
12	161	Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification	claim
13	159	Resolution Enhancement of PMD Range Maps	claim
14	150	Convex Hodge Decomposition of Image Flows	claim
15	149	Learning Visual Compound Models from Parallel Image-Text Datasets	claim
16	138	Perspective Shape from Shading with Non-Lambertian Reflectance	claim
17	137	Sliding-Windows for Rapid Object Class Localization: A Parallel Technique	claim
18	128	On Sparsity Maximization in Tomographic Particle Image Reconstruction	claim
19	126	An Evolutionary Approach for Learning Motion Class Patterns	claim
20	124	Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars	claim
21	119	Space-Time Multi-Resolution Banded Graph-Cut for Fast Segmentation	claim
22	117	MAP-Inference for Highly-Connected Graphs with DC-Programming	claim
23	115	Using Eigenvalue Derivatives for Edge Detection in DT-MRI Data	claim
24	113	Novel VQ Designs for Discrete HMM On-Line Handwritten Whiteboard Note Recognition	claim
25	111	Physically Consistent Variational Denoising of Image Fluid Flow Estimates	claim
26	111	Simple Incremental One-Class Support Vector Classification	claim
27	110	A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry	claim
28	106	Switching Linear Dynamic Models for Noise Robust In-Car Speech Recognition	claim
29	101	A Probabilistic Segmentation Scheme	claim
30	96	A Variational Model for the Joint Recovery of the Fundamental Matrix and the Optical Flow	claim
31	66	Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach	claim

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