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» Digital Geometric Methods in Image Analysis and Compression
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MP
2010
162views more  MP 2010»
13 years 6 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
PICS
2001
13 years 9 months ago
Red Eye Removal using Digital Color Image Processing
The current paper provides methods to correct the artifact known as "red eye" by means of digital color image processing. This artifact is typically formed in amateur ph...
Jon Yngve Hardeberg
ICPR
2006
IEEE
14 years 8 months ago
Document Flattening through Grid Modeling and Regularization
For document images captured by a digital camera, perspective and geometric distortions make it hard to recognize the document content properly. In this paper, we propose an integ...
Chew Lim Tan, Shijian Lu
MLDM
2007
Springer
14 years 1 months ago
Color Reduction Using the Combination of the Kohonen Self-Organized Feature Map and the Gustafson-Kessel Fuzzy Algorithm
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
Konstantinos Zagoris, Nikos Papamarkos, Ioannis Ko...
3DIM
2005
IEEE
13 years 9 months ago
Further Improving Geometric Fitting
We give a formal definition of geometric fitting in a way that suits computer vision applications. We point out that the performance of geometric fitting should be evaluated in...
Ken-ichi Kanatani