NDLI: Identifying and classifying image transforms

Content Provider	IEEE Xplore Digital Library
Author	Mustafa, A.A.Y.
Copyright Year	2002
Description	Author affiliation: Dept. of Mech. Eng., Kuwait Univ., Safat, Kuwait (Mustafa, A.A.Y.)
Abstract	Image transforms are used extensively in image processing to convert one image form into another form. These transforms are either point-operation transforms or neighborhood-operation transforms. Point-operation transforms can be classified as either injective transforms or non-injective transforms depending on the type of mathematical function applied to the image and the image characteristics. In this paper we present a novel technique that can identify if an image was processed by a point-operation transform and classify the transform as being either injective or non-injective. The mapping function of the transform is also recovered in the process. The technique is applicable to both linear and non-linear transforms. Tests are conducted on real images to show the validity of our technique.
Starting Page	806
Ending Page	809
File Size	266187
Page Count	4
File Format	PDF
ISBN	076951695X
ISSN	10514651
DOI	10.1109/ICPR.2002.1048425
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-08-11
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Image processing Image converters Filters Gray-scale Pixel Mechanical engineering Image restoration Image edge detection Brightness
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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