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» Regularized Interpolation for Noisy Images
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ICIP
1997
IEEE
14 years 9 months ago
Detecting Regular Patterns Using Frequency Domain Self-Filtering
Donald G. Bailey Physics Department, Massey University Palmerston North, New Zealand D.G.Bailey @massey.ac.nz Filtering is often used in image processing to smooth noise, and to e...
D. G. Bailey
IPMI
2001
Springer
14 years 8 months ago
Feature Enhancement in Low Quality Images with Application to Echocardiography
In this paper we propose a novel approach to feature enhancement to enhance the quality of noisy images. Our approach is based on a phase-based feature detection algorithm, followe...
Djamal Boukerroui, J. Alison Noble, Michael Brady
ICIP
2000
IEEE
13 years 12 months ago
Vector Probability Diffusion
Minimal surface regularization has been used in several applications ranging from stereo to image segmentation, sometimes hidden as a graph-cut discrete formulation, or as a stric...
Alvaro Pardo, Guillermo Sapiro
MM
2009
ACM
277views Multimedia» more  MM 2009»
14 years 2 months ago
Inferring semantic concepts from community-contributed images and noisy tags
In this paper, we exploit the problem of inferring images’ semantic concepts from community-contributed images and their associated noisy tags. To infer the concepts more accura...
Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun ...
ICIP
2007
IEEE
14 years 9 months ago
Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding
Wyner-Ziv video coding is a lossy source coding paradigm where the video statistics are exploited, partially or totally at the decoder. The side information represents a noisy ver...
Fernando Pereira, João Ascenso