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 |
115,910,205 bytes |
File Name |
Cannon-Digital_Image_Deblurring_1.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/s63f78tn |
Setname |
ir_computersa |
ID |
107028 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s63f78tn |