LU Jian. On Blind Image Restoration Technique Based on Particle Swarm Optimization[J]. Journal of Yellow River Conservancy Technical Institute, 2014, 26(4): 36-39. DOI: 10.13681/j.cnki.cn41-1282/tv.2014.04.016
    Citation: LU Jian. On Blind Image Restoration Technique Based on Particle Swarm Optimization[J]. Journal of Yellow River Conservancy Technical Institute, 2014, 26(4): 36-39. DOI: 10.13681/j.cnki.cn41-1282/tv.2014.04.016

    On Blind Image Restoration Technique Based on Particle Swarm Optimization

    • Based on the Gauss blur and Out-of-focus blur image, this article proposes the use of particle swarm optimization to identify fuzzy image of the PSF, and then restores with identified PSF and fuzzy image by using Wiener filter, gets the estimated image, and calculates the value of the objective function, determines whether the image is clear and the direction of particle evolution. According to the evolution mechanism of PSO, by the calculation of N iteration, particle will finally converge in the optimal solution. The experiment shows that the obtained estimation of image restoration is closest to the original image.
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