Title :
A model for image patch-based algorithms
Author :
Ni, Karl S. ; Nguyen, Truong Q.
Author_Institution :
ECE Dept., UCSD, La Jolla, CA
Abstract :
An empirical study of the domain of patch-based learning algorithms for image and video processing is conducted. As patch-based algorithms are commonly used, knowledge of the properties of fixed size image patches would prove particularly useful and interesting. We are concerned with investigating the overall distribution of vectorized patches of general images. A multivariate distribution model is proposed and analyzed using various techniques, which include univariate histograms and modified k-nearest neighbors. The model is verified and an application using the distribution model is introduced and compared.
Keywords :
image processing; statistical analysis; image patch-based algorithm; image processing; k-nearest neighbor; multivariate distribution model; patch-based learning algorithm; univariate histogram; video processing; Data preprocessing; Discrete cosine transforms; Histograms; Image coding; Interpolation; Parameter estimation; Pixel; Statistical distributions; Statistics; Video compression; Gaussian Mixture Model; distribution; image patch; image properties; multivariate Laplace;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712323
