ThesisAuthors: He, Zhihua (2006)
The design of an efficient image representation methods using small numbers of features can facilitate image processing tasks such as compression of images and content-based retrieval of images from databases. In this dissertation, three methods for capturing and concisely representing two distinguishing characteristics of images, namely texture and structure, are developed. Applications of these compact representations of image characteristics to image compression as well as retrieval of images and hand-sketches of images from databases are given and performance is compared with other compression and retrieval methods.
The first method to be introduced is a directional, hidden-Markov-model-based method for succinctly describing image texture using a small number of features. This ... 
