شماره ركورد كنفرانس :
5263
عنوان مقاله :
ESTIMATING MOTION BLUR PARAMETERS BY PARTICLE SWARM OPTIMIZATION METHOD
پديدآورندگان :
Gorji Darounkolaei Meysam m.gorji05@umail.umz.ac.ir Department of Mathematics, University of Mazandaran, Babolsar, Iran. , Tavakoli Ali Department of Mathematics, University of Mazandaran, Babolsar, Iran.
كليدواژه :
Image processing , Motion deblurring , Wiener filter , particle swarm optimization
عنوان كنفرانس :
54 امين كنفرانس رياضي ايران
چكيده فارسي :
When the parameters of motion blur are known, the Wiener filter proves to be an effective tool for restoring degraded images. This paper introduces an optimization problem aimed at estimating the suitable parameters for motion blur. To tackle this problem, a particle swarm optimization algorithm is utilized. Extensive experiments conducted on the GoPro dataset showcase the superior performance of the proposed framework compared to other state-of-the-art techniques for image motion deblurring.
