16th International Conference on Pattern Recognition (ICPR'02) - Volume 2 Identifying and Classifying Image Transforms Quebec City, QC, Canada August 11-August 15 ISBN: 0-7695-1695-X
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 techniq e 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.
Index Terms:
Image transforms, injective transforms, transform recovery, image information, image restoration
Citation:
Adnan A. Y. Mustafa, "Identifying and Classifying Image Transforms," icpr, vol. 2, pp.20806, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 2, 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||