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DGCI
2005
Springer
14 years 1 months ago
Shape Preserving Digitization of Binary Images After Blurring
Topology is a fundamental property of shapes in pictures. Since the input for any image analysis algorithm is a digital image, which does not need to have the same topological char...
Peer Stelldinger, Ullrich Köthe
JMIV
2008
121views more  JMIV 2008»
13 years 7 months ago
Extension of Moment Features' Invariance to Blur
Moment invariants are features calculated on an image, which do not change their values after a transformation of the image. This paper focuses on the so called combined invariants...
Jirí Boldys, Jan Flusser
DAGM
2006
Springer
13 years 9 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
ACIVS
2008
Springer
14 years 1 months ago
Blur and Contrast Invariant Fast Stereo Matching
We propose a novel approach for estimating a depth-map from a pair of rectified stereo images degraded by blur and contrast change. At each location in image space, information is...
Matteo Pedone, Janne Heikkilä
SADFE
2005
IEEE
14 years 1 months ago
Detecting Digital Tampering by Blur Estimation
With powerful computer and mighty software, seasoned users could turn digital media into what they want. The detection of digital tampering has become a crucial problem. In most o...
Dun-Yu Hsiao, Soo-Chang Pei