*Wu, H.S.*,
*Barba, J.*,

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*Gormish, M.J.*,
*Gill, J.T.*,

**Discrete minimum entropy quantization**,

*IP(4)*, No. 9, September 1995, pp. 1314-1317.

IEEE DOI
**0402**

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*Awate, S.P.[Suyash P.]*,
*Whitaker, R.T.[Ross T.]*,

**Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image
Restoration**,

*PAMI(28)*, No. 3, March 2006, pp. 364-376.

IEEE DOI
**0602**

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Earlier:

**Higher-Order Image Statistics for Unsupervised, Information-Theoretic,
Adaptive, Image Filtering**,

*CVPR05*(II: 44-51).

IEEE DOI
**0507**

improves the predictability of pixel intensities from their
neighborhoods by decreasing their joint entropy.
BibRef

*Guo, L.F.[Liang-Feng]*,
*Garland, M.[Marc]*,

**The use of entropy minimization for the solution of blind source
separation problems in image analysis**,

*PR(39)*, No. 6, June 2006, pp. 1066-1073.

WWW Link.
**0604**

Information entropy; Inverse problems;
Blind source separation; Entropy minimization
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IEEE DOI

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*Fang, Y.[Yong]*,
*Jeon, G.G.[Gwang-Gil]*,
*Jeong, J.C.[Je-Chang]*,
*Wu, C.K.[Cheng-Ke]*,
*Wang, Y.L.[Yang-Li]*,

**Improved Algorithm of Error-Resilient Entropy Coding Using State
Information**,

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*Watanabe, S.*,
*Kaminuma, T.*,

**Recent developments of the minimum entropy algorithm**,

*ICPR88*(I: 536-540).

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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in

Boundary Effects in Restoration .

Last update:Dec 7, 2017 at 17:23:10