Accession Number:

ADA280297

Title:

Application of Continuous, Orthonormal Wavelets to Image Data Reduction

Descriptive Note:

Final technical rept. Oct 1992-Dec 1993

Corporate Author:

DAYTON UNIV OH RESEARCH INST

Personal Author(s):

• Geri, George A.
• Gertner, Izidor C.

Report Date:

1994-04-01

Pagination or Media Count:

42.0

Abstract:

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.

Descriptors:

• *COMPUTER PROGRAMS
• *IMAGE PROCESSING
• *DATA COMPRESSION
• *DATA REDUCTION
• HIGH FREQUENCY
• FOURIER ANALYSIS
• DECOMPOSITION
• COMPUTERS
• IMAGES
• ERRORS

Subject Categories:

• Computer Programming and Software
• Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE