Generalized Weighted Finite Automata Based Image Compression
Дата
Авторы
Ii.,Karel
Rosenberg,Peter C. von
Journal Title
Journal ISSN
Volume Title
Издатель
Journal of Universal Computer Science
Аннотация
Описание
The Culik-Kari recursive inference algorithm for WFA is based on an effcient way of expressing subsquares of the given image as linear combinations of available states. Here we improve it in two ways. First, we allow the use of rotations, flippings and negations of the states in the linear combination. Second, in order to get the best possible representation of simple fractal images we allow the creation of edges pointing to ancestors of states under construction which, for technical reasons, was not done in the original recursive algorithm.
Ключевые слова
image-data compression , nite automata , WFA , fractal-image compression