Advanced techniques for digital image processing

A new algorithm for enhancing a degraded grey scale image is proposed here. The enhancement algorithm is a locally adaptive Fourier filter which locates and analyzes the Fourier spectral information and then enhances the identifying features. Thus, it can achieve a better enhancement result than conventional homomorphic FFT techniques. By using a short space basis implementation, a large amount of memory space can be saved, consequently the computation speed is greatly improved. The primary objective of this algorithm is to extract linear features from a noisy image. However, the algorithm also can be modified in order to enhance other different kinds of features. The main advantages of this algorithm are: 1. It requires a small amount of computer memory; this makes it easy to implement in small computers. 2. It has fast processing speed. 3. It is powerful in extracting local linear features.

Name thesis:degree_name

M.S.E.E.

Level thesis:degree_level

Masters

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor dc:publisher

Texas Tech University

Year dc:date.issued

1986

Author dc:creator

• Tarng, Jaw-horng

• Fingerprints -- Identification
• Algorithms
• Computer vision
• Image processing -- Digital techniques
• Fourier transformations

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/2346/16830

OAI identifier oai:identifier

oai:ttu-ir.tdl.org:2346/16830