NDLI: Optimization algorithm for restoring an all-focused micromechanical structure image

Content Provider	IEEE Xplore Digital Library
Author	Shoa, T. Shafai, C. Thomas, G. Shoa, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada (Shoa, T.; Shafai, C.; Thomas, G.)
Abstract	This paper presents an optimization algorithm of a technique that generates an all-focused image from several differently focused images. The targeted characteristic of differently focused images is that each has only some in-focus regions and the rest of the image is out-of-focus. Using a sharpness function to defect the focused areas causes errors due to the fact that the out-of-focus objects are bigger than their actual size. Therefore, detection of feature edges is spatially incorrect. In addition, focused areas with low contrast cannot be easily distinguished from the out-of-focus regions. Recently we proposed a method to overcome these difficulties. The input images are first enhanced and then divided into different block sizes. The focused blocks are defined using a gradient function followed by a threshold and then a voting algorithm determines the best-focused pixels. Here, an optimization algorithm has been developed which speeds up the image restoration process by 57%.
Sponsorship	Cisco Syst. General Elec. Ryerson Univ. AVFX Audio Visual Bell Canada Dofasco Dye & Durham Gennum Corp. IEEE Canada Found. Univ. of Toronto Niagara College of Appl. Arts and Technol
Starting Page	1707
Ending Page	1710
File Size	535441
Page Count	4
File Format	PDF
ISBN	0780382536
ISSN	08407789
DOI	10.1109/CCECE.2004.1349742
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image restoration Micromechanical devices Focusing Image generation Image edge detection Microscopy Image processing Image fusion Object detection Computer vision
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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