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
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;
Conference_Titel :
Visual Information Processing (EUVIP), 2010 2nd European Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7288-8
DOI :
10.1109/EUVIP.2010.5699150
