Title: Gaussian blur identification using scale-space theory
Creator: Robinson, P., Roodt, Y., Nel, A.
Subject: Gaussian blur, blur identification, blur detection, scale space
Date: 2012
Type: Article
Identifier: http://hdl.handle.net/10210/15988
Identifier: uj:15725
Identifier: Citation: P.E. Robinson, Y. Roodt and A. Nel, “Gaussian blur identification using scale-space theory”, Pattern Recognition Association of South Africa (PRASA), 2012
Description: Abstract: Image deblurring algorithms generally assume that the nature of the blurring function that degraded an image is known before an image can be deblurred. In the case of most naturally captured images the strength of the blur present in the image is not known. This paper proposes a method to identify the standard deviation of a Gaussian blur that has been applied to a single image with no a priori information about the conditions under which the image was captured...
Publisher: Pattern Recognition Association of South Africa (PRASA)
Language: English
Rights: ©2012, authors
Full Text

Collections

Conference proceedings

		Thumbnail	File	Description	Size	Format
View Details Download			SOURCE1	Gaussian blur identification using scale-space theory	1 MB	Adobe Acrobat PDF	View Details Download

Gaussian blur identification using scale-space theory