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13 March 1996 Approximate Karhunen-Loeve transform for image processing
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Proceedings Volume 2666, Image and Video Processing IV; (1996)
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
The new algorithm of approximate Karhunen-Loeve (KL) expansion and its application to the problem of texture analysis is proposed in the present report. The main idea of the algorithm is to substitute the true two-dimensional correlation function of the image ensemble by the approximate correlation function which has a factorable form. The problem of KL basis construction may be solved, and this complete basis can be used for image processing. We have studied the efficiency of the proposed procedure in comparison with the wavelet fast approximate KL algorithm, and an earlier proposed algorithm of the diagonalization of correlation matrix experimental estimation. For the textures with well defined space- translation symmetry in horizontal or vertical direction the proposed algorithm may give the best results, the calculation complexity being quite equal.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vitalij N. Kurashov and Yurij S. Musatenko "Approximate Karhunen-Loeve transform for image processing", Proc. SPIE 2666, Image and Video Processing IV, (13 March 1996);

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