Title :
Two dimensional &thetas;-image encoding using Boltzmann machine
Author_Institution :
Dept. of Math. & Comput. Sci., Savannah State Coll., GA, USA
fDate :
27 Jun- 2 Jul 1994
Abstract :
A new image transformation, two-dimensional θ-transformation, is introduced in this paper. The time complexity for a θ-transformation is very low. Therefore, for a certain class of images, θ-transformation is a very efficient algorithm for image compression and image indexing. Boltzmann machine can be used to implement a class of θ-transformation
Keywords :
Boltzmann machines; computational complexity; data compression; image classification; image coding; transforms; 2D &thetas;-image encoding; 2D &thetas;-transformation; Boltzmann machine; image compression; image indexing; image transformation; time complexity; Discrete cosine transforms; Educational institutions; Eigenvalues and eigenfunctions; Encoding; Gas insulated transmission lines; Image coding; Indexing; Predistortion; Transform coding;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374877
