Multistage Filtering for Synthetic Enhancement of Digitized Images
Keywords
Computer algorithms, Digital filters (Mathematics), Image processing -- Digital techniques
Abstract
The potential is vast for the enhancement of graphic images that are used for human interpretation and/or image display. Sensor noise, blur due to camera misfocus, relative object-camera motion, and random atmospheric turbulence may contribute to photographic image deterioration. Image enhancement and restoration methods are useful for improving the quality and for augmenting specific characteristics of an image. Often, complex filtering of the image data is required. This paper presents a technique for enhancement of images using multistage filtering techniques which take advantage of a priori knowledge as to the images' content. Algorithms are designed and implemented which enhance edges as well as gray level contrast. In addition, the source images are passed through a sequence of controllable filter stages to provide varying degrees and types of enhancements. Image enhancement techniques do not increase the inherent information content in the data, but the techniques do accentuate distinct image features which result in an improved image display. The effects of the different filters and filter stages will be analyzed with regard to image enhancement and picture quality. Numerical results and graphic image results are included in the analysis. Further applications of the techniques analyzed are discussed as well.
Notes
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Graduation Date
1990
Semester
Spring
Advisor
Alsaka, Yacoub A.
Degree
Master of Science (M.S.)
College
College of Engineering
Department
Electrical Engineering and Communication Sciences
Degree Program
Electrical Engineering
Format
Language
English
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Identifier
DP0027283
Subjects
Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic
STARS Citation
Hartigan, Jean Carolyn, "Multistage Filtering for Synthetic Enhancement of Digitized Images" (1990). Retrospective Theses and Dissertations. 3998.
https://stars.library.ucf.edu/rtd/3998
Accessibility Status
Searchable text