Title :
Texture coding using a Wold decomposition model
Author :
Sriram, R. ; Francos, Joseph M. ; Pearlman, William A.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
A novel approach for coding textured images is presented. The texture field is assumed to be a realization of a regular homogeneous random field, which can have a mixed spectral distribution. On the basis of a 2D Wold-like decomposition, the field is represented as a sum of purely indeterministic, harmonic, and a countable number of evanescent fields. We present an algorithm for estimating and coding the texture model parameters, and show that the suggested algorithm yields high quality reconstructions at low bit rates. The model and the resulting coding algorithm are seen to be applicable to a wide variety of texture types found in natural images
Keywords :
image texture; Wold decomposition model; homogeneous random field; image reconstruction; parameter estimation; spectral distribution; textured image coding; Bit rate; Image coding; Image reconstruction; Image segmentation; Mathematical model; Parameter estimation; Parametric statistics; Systems engineering and theory; Welding; Yield estimation;
Conference_Titel :
Pattern Recognition, 1994. Vol. 3 - Conference C: Signal Processing, Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6275-1
DOI :
10.1109/ICPR.1994.577117