DocumentCode
2307966
Title
Circular Harmonic Functions: A unifying mathematical framework for image restoration, enhancement, indexing, retrieval and recognition
Author
Neri, Alessandro
Author_Institution
Appl. Electron. Dept., Univ. of Roma TRE, Rome, Italy
fYear
2010
fDate
5-6 July 2010
Firstpage
269
Lastpage
276
Abstract
This paper presents a review of the main properties of the Gauss-Laguerre Circular Harmonic Functions (CHF) particularly useful in image processing applications like restoration enhancement, recognition and retrieval. In fact, adoption of representations based on this family of functions, allows to reduce the computational complexity of Bayesian detectors and estimators. Applications to restoration and image retrieval are also discussed.
Keywords
Bayes methods; harmonic analysis; image enhancement; image recognition; image restoration; image retrieval; indexing; stochastic processes; Bayesian detector; Bayesian estimator; Gauss-Laguerre circular harmonic function; computational complexity; image enhancement; image indexing; image processing; image recognition; image restoration; image retrieval; mathematical framework; Gauss-Laguerre Circular harmonic Functions; Image indexing; Image retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Information Processing (EUVIP), 2010 2nd European Workshop on
Conference_Location
Paris
Print_ISBN
978-1-4244-7288-8
Type
conf
DOI
10.1109/EUVIP.2010.5699150
Filename
5699150
Link To Document