Application of Continuous, Orthonormal Wavelets to Image Data Reduction
Final technical rept. Oct 1992-Dec 1993
DAYTON UNIV OH RESEARCH INST
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Images are decomposed and reconstructed by applying recently developed multiresolution techniques to a particular class of orthonormal wavelets. An original image is decomposed into a series of sub-images in which the low- and high-frequency information of the original image has been segregated. The image is then reconstructed after any redundant high-frequency information is discarded. This procedure allows a perceptually equivalent image to be generated using less information. Further, the resulting reduced-data image can be stored, processed, transmitted and displayed more efficiently. The advantages of the technique are that the wavelets used are continuous and well- localized in both space and spatial-frequency, the reconstruction can be performed by simply reversing the multiresolution decomposition process, and the reconstruction is error-free. The C source code required to implement the present technique on a PC-compatible computer is also presented. Data compression, Multiresolution analysis, Data reduction, Orthonormal bases, Image processing, Wavelets.
- Computer Programming and Software