Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields

Aggelos K Katsaggelos

Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Energy Minimization Methods in Computer Vision and Pattern Recognition
Publisher	Springer
Volume	1223
State	Published - 1997

Publication series

Name	Lectures Notes in Computer Science

Name	Lectures Notes in Computer Science

Cite this

@inbook{302afcd3f1d24813bc29cb59fa82b0c1,

title = "Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields",

author = "Katsaggelos, {Aggelos K}",

year = "1997",

language = "English",

volume = "1223",

series = "Lectures Notes in Computer Science",

publisher = "Springer",

booktitle = "Energy Minimization Methods in Computer Vision and Pattern Recognition",

}

Restoration of Severely Blurred High Range Images Using Stochastic and Deterministic Relaxation Algorithms in Compound Gauss Markov Random Fields. / Katsaggelos, Aggelos K.

Energy Minimization Methods in Computer Vision and Pattern Recognition. Vol. 1223 Springer, 1997. (Lectures Notes in Computer Science), (Lectures Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Chapter