TY - GEN
T1 - Shift-invariant sparse representation of images using learned dictionaries
AU - Thiagarajan, Jayaraman J.
AU - Ramamurthy, Karthikeyan N.
AU - Spanias, Andreas
PY - 2008
Y1 - 2008
N2 - Sparse approximations that are evaluated using overcomplete learned dictionaries are useful in many image processing applications such as compression, denoising and feature extraction. Incorporating shift invariance into sparse representation of images can improve sparsity while providing a good approximation. The K-SVD algorithm adapts the dictionary based on a set of training examples, without shift invariance constraints. This paper presents two algorithms for training dictionaries and evaluating shift-invariant sparse representations for image data. One is a modified version of the K-SVD algorithm and the other is a novel graph-based algorithm that adapts the dictionary and computes representations using a low complexity reconstruction procedure.
AB - Sparse approximations that are evaluated using overcomplete learned dictionaries are useful in many image processing applications such as compression, denoising and feature extraction. Incorporating shift invariance into sparse representation of images can improve sparsity while providing a good approximation. The K-SVD algorithm adapts the dictionary based on a set of training examples, without shift invariance constraints. This paper presents two algorithms for training dictionaries and evaluating shift-invariant sparse representations for image data. One is a modified version of the K-SVD algorithm and the other is a novel graph-based algorithm that adapts the dictionary and computes representations using a low complexity reconstruction procedure.
UR - http://www.scopus.com/inward/record.url?scp=58049184130&partnerID=8YFLogxK
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U2 - 10.1109/MLSP.2008.4685470
DO - 10.1109/MLSP.2008.4685470
M3 - Conference contribution
AN - SCOPUS:58049184130
SN - 9781424423767
T3 - Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
SP - 145
EP - 150
BT - Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
T2 - 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008
Y2 - 16 October 2008 through 19 October 2008
ER -