DocumentCode
2761421
Title
Pre-Blurred Spatial Sampling can Lead to Hyperacuity
Author
Benson, John B. ; Luke, Geoffrey P. ; Wright, Cameron H G ; Barrett, Steven F.
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of Wyoming, Laramie, WY
fYear
2009
fDate
4-7 Jan. 2009
Firstpage
570
Lastpage
575
Abstract
While it may be counterintuitive to some, pre-blurring an image prior to spatial sampling can result in an increased ability to localize certain image features or to detect minute motions of such features. This does not produce better acuity in the traditional sense (e.g., the ability to resolve line pairs), but for certain classes of applications this technique can be quite useful and the resulting effect has, for better or for worse, been given the name "hyperacuity" in the literature. While observations of hyperacuity in animal vision tests have been reported in various journals, a signal processing based explanation of the effect has been lacking. In this paper, we explain how, in the process of developing a biomimetic imaging sensor based on the compound eye of the common housefly (Musca domestica), we have been able to mathematically model and explain in well-known signal processing terms how this hyperacuity effect comes about.
Keywords
biomimetics; computer vision; image sampling; image sensors; Musca domestica; animal vision tests; biomimetic imaging sensor; compound eye; housefly; hyperacuity; image features; image preblurring; preblurred spatial sampling; signal processing; Animals; Biomedical signal processing; Biomimetics; Computer vision; Image sampling; Motion detection; Sampling methods; Signal resolution; Spatial resolution; Testing; Sampling methods; hyperacuity; image sensor; insect vision; machine vision; visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location
Marco Island, FL
Print_ISBN
978-1-4244-3677-4
Electronic_ISBN
978-1-4244-3677-4
Type
conf
DOI
10.1109/DSP.2009.4785988
Filename
4785988
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