15 November 2007 Light-microscopic image restoration via edge detection
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860V (2007) https://doi.org/10.1117/12.748919
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
A semi-blind image restoration approach is put forward in this paper for light-microscopy system. Microscope creates unavoidable light artefacts because of the Point Spread Function (PSF) of the optical system, and our early research shows that PSF of the microscopy system can be modeled as isotropic Gaussian blur. That is the motivation of this paper. We present an algorithm, based on functional minimization, which integrates Canny edge detection with semi-blind deconvolution. An alternating minimization (AM) implicit iterative scheme is devised to recover the image and simultaneously identify PSF. Good performance is observed with numerically blurred images and really microscopic images, even under the presence of high noise level.
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Mingzhu Sun, Xin Zhao, Guizhang Lu, "Light-microscopic image restoration via edge detection", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860V (15 November 2007); doi: 10.1117/12.748919; https://doi.org/10.1117/12.748919
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