Title :
Restoration of motion-blurred line drawings by Differential Evolution and Richardson-Lucy algorithm
Author :
Tanaka, Masahiro ; Takahama, Tomoya
Author_Institution :
Dept. of Intell. & Inf., Konan Univ., Kobe, Japan
Abstract :
The image restoration from a blurred image is an old problem. Richardson-Lucy (RL) algorithm is a deconvolution algorithm that can restore the original image quite well if the point-spread function (PSF) is known. However, it needs to know the PSF to apply this algorithm. In this research, by restricting our problem to motion-blurred line images, we propose a blind-deconvolution algorithm by estimating PSF using Differential Evolution. As the fitness value, we define a weighted sum of two kinds of error functions. Numerical examples will show the effectiveness of the proposed algorithm.
Keywords :
deconvolution; evolutionary computation; image restoration; optical transfer function; Richardson-Lucy algorithm; blind-deconvolution algorithm; blurred image; differential evolution; error functions; image restoration; motion-blurred line drawings; point-spread function; Deconvolution; Educational institutions; Equations; Image restoration; Image segmentation; Mathematical model; Vectors;
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
DOI :
10.1109/CEC.2012.6256163
