Research Article
Comparative Analysis of PSF Estimation Based on Hough Transform and Radon Transform
@INPROCEEDINGS{10.1007/978-3-319-73712-6_9, author={Mayana Shah and Upena Dalal}, title={Comparative Analysis of PSF Estimation Based on Hough Transform and Radon Transform}, proceedings={Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings}, proceedings_a={ICFITT}, year={2018}, month={2}, keywords={Image deblurring Image restoration Motion blur PSF estimation}, doi={10.1007/978-3-319-73712-6_9} }- Mayana Shah
Upena Dalal
Year: 2018
Comparative Analysis of PSF Estimation Based on Hough Transform and Radon Transform
ICFITT
Springer
DOI: 10.1007/978-3-319-73712-6_9
Abstract
Blind image motion deblurring (BID) is in great demand to recover the original image from its degraded observation. Motion blur is the effect of relative movement between camera and object during shutter opening. Restoring the information requires estimation of Point spread function (PSF) and use this PSF for deblurring task. PSF estimation plays important role in motion deblurring and mis-specification of kernel can lead to structural distortion in deblurred image. In this paper, we have proposed the comparative analysis of PSF estimation methods in modified cepstrum domain based on Hough transform and Radon transform. Experimentation is done on standard image and estimated parameters are compared for motion blur of different length and degrees. Conclusions are drawn on the basis of simulation study on Matlab for standard image.
