Title :
Research on the motion-blurred direction by spectrum image analysis
Author_Institution :
Coll. of Public Security Technol., Gansu Inst. of Political Sci. & Law, Lanzhou, China
Abstract :
According to the characters of the motion-blurred images, this paper analyzes its degradation model and gives a method of estimating the direction of motion-blur more accurately which based on spectrum image. First of all, it is necessary to figure out the relationship of the spectrum image´s stripe and the blurred direction on the basis of degradation model; after that, we need to pretreat the spectrum image (spectrum image block, contrast-limited adaptive gray stretching, and by finding the appropriate binarization threshold value of spectrum after inverting with Otsu method); finally, by Radon transform we could obtain the perpendicular direction of dark stripes, and then the blurred direction is calculated. This method is demonstrated precisely by experimental results.
Keywords :
Radon transforms; image motion analysis; Otsu method; Radon transform; binarization threshold value; contrast-limited adaptive gray stretching; degradation model; motion-blurred direction; perpendicular dark stripes direction; spectrum image analysis; spectrum image block; Cepstrum; Degradation; Error analysis; Estimation; Image restoration; Parameter estimation; Transforms; Radon transform; degradation model; gray stretching; motion-blurred image; spectrum characters;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931334