Digital image deblurring by nonlinear homomorphic flltering

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Publication Type Technical report
School or College College of Engineering
Department Computing, School of
Creator Cannon, Thomas Michael, 1945-
Title Digital image deblurring by nonlinear homomorphic flltering
Date 1974-08
Description Abstract: This dissertation is concerned with the digital estimation of the frequency response of a two-dimensional linear system through which images have been passed and blurred. Almost no a priori knowledge concerning the system is required, and only one blurred image is necessary for a successful estimation. For those blurs that have phase reversals, such as motion blurs and out-of-focus blurs, a simple method of calculating the correct phase has been developed. A nonlinear homomorphic restoration system is developed and demonstrated on various types of blurred images. An image may be restored by filtering either the intensity version or the density version of the image. The latter not only insures a positive result but also permits simultaneous deblurring and contrast enhancement. The restoration procedure consumes only a modest amount of computation time.
Type Text
Publisher University of Utah
Subject Deblurring; nonlinear homomorphic filtering
Subject LCSH Image processing--Research; Digital filters (Mathematics); Optical pattern recognition; Optical data processing
Language eng
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Format Medium application/pdf
Format Extent 94,145,244 bytes
File Name Cannon-Digital_Image_Deblurring_2.pdf
Conversion Specifications Original scanned with Kirtas 2400 and saved as 400 ppi uncompressed TIFF. PDF generated by LIMB™ for CONTENTdm display
ARK ark:/87278/s6zp6sbc
Setname ir_computersa
Date Created 2016-11-18
Date Modified 2016-11-18
ID 107122
Reference URL
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