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.