DID YOU KNOW? DTIC has over 3.5 million final reports on DoD funded research, development, test, and evaluation activities available to our registered users. Click HERE
to register or log in.
Application of Continuous, Orthonormal Wavelets to Image Data Reduction
Final technical rept. Oct 1992-Dec 1993
DAYTON UNIV OH RESEARCH INST
Pagination or Media Count:
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.
APPROVED FOR PUBLIC RELEASE