Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 44 - 51 vol. 2
• Main Authors: Awate, S.P., Whitaker, R.T.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Adaptive filters; Application software; Computer vision; Degradation; Entropy; Filtering; Higher order statistics; Image processing; Image restoration; Signal restoration

The restoration of images is an important and widely studied problem in computer vision and image processing. Various image filtering strategies have been effective, but invariably make strong assumptions about the properties of the signal and/or degradation. Therefore, these methods typically lack...