Title :
Geometric distortion correction through image normalization
Author :
Alghoniemy, Masoud ; Tewfik, Ahmed H.
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
Abstract :
A new approach for geometric distortion correction based on image normalization is presented in this paper. By normalization we mean geometrically transforming the image into a standard form. The parameters by which the image is normalized are estimated from the geometric moments of the image. This paper presents a system in which the watermark is embedded and detected in the normalized image. The watermark can then be embedded and detected in the normalized image regardless of its size, orientation and flipping direction
Keywords :
error correction; geometry; image processing; message authentication; parameter estimation; embedded watermark detection; geometric distortion correction; geometric image transformation; geometric moments; image flipping direction; image normalization; image orientation; image size; parameter estimation; Decoding; Discrete Fourier transforms; Face detection; Fourier transforms; Image edge detection; Image recognition; Parameter estimation; Pattern recognition; Predistortion; Watermarking;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.871003
