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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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16-03-2011 дата публикации

Image deblurring method

Номер: CN0101986345A
Автор: CHUN CHEN, CHENGXI YE, JIAJUN BU, KAI HAO, MINGLI SONG, CHEN CHUN, YE CHENGXI, BU JIAJUN, HAO KAI, SONG MINGLI
Принадлежит:

The invention discloses an image deblurring method. The method comprises the following three effective steps of: denoising a blurred image by utilizing an anisotropic diffusion rule to obtain a smooth image; performing edge enhancement on the smooth image by utilizing shock filtering to obtain a sharpened image; and comparing the sharpened image and the blurred image to obtain the jitter track of the blurred image, and performing standard Wiener filtering by utilizing the jitter track of the blurred image and the blurred image to obtain a sharp image. By combining anisotropic diffusion rule-based smoothing operation and sharpening operation using the shock filtering, noise can be removed and simultaneously an image edge is enhanced to the maximum extent, a rapid estimation method with an arbitrary-order penalty term is adopted in a subsequent jitter track solving process, and Fourier transform is combined for acceleration, so that the solving speed is remarkably improved.

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Номер записи: 1
06-06-2012 дата публикации

Image deblurring method

Номер: CN0101986345B
Автор: CHEN CHUN, YE CHENGXI, BU JIAJUN, HAO KAI, SONG MINGLI, CHUN CHEN, CHENGXI YE, JIAJUN BU, KAI HAO, MINGLI SONG
Принадлежит:

The invention discloses an image deblurring method. The method comprises the following three effective steps of: denoising a blurred image by utilizing an anisotropic diffusion rule to obtain a smooth image; performing edge enhancement on the smooth image by utilizing shock filtering to obtain a sharpened image; and comparing the sharpened image and the blurred image to obtain the jitter track ofthe blurred image, and performing standard Wiener filtering by utilizing the jitter track of the blurred image and the blurred image to obtain a sharp image. By combining anisotropic diffusion rule-based smoothing operation and sharpening operation using the shock filtering, noise can be removed and simultaneously an image edge is enhanced to the maximum extent, a rapid estimation method with an arbitrary-order penalty term is adopted in a subsequent jitter track solving process, and Fourier transform is combined for acceleration, so that the solving speed is remarkably improved.

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Номер записи: 2