Proc. SPIE. 9807, Optical Technologies for Telecommunications 2015
KEYWORDS: Signal to noise ratio, Point spread functions, Image restoration, Computer simulations, Signal processing, Deconvolution, System identification, Convolution, Neodymium, Image deconvolution, Algorithms
The article deals with the image blind identification algorithm applied for optical images restoration. The proposed solution is based on the polynomial transform of the signals and allows to reduce multichannel blind image identification to the linear equation solving with the number of equations, equal to the number of the unknown PSF samples. The outcome of the simulation for different SNR is examined during the simulation; the real images, restored by the proposed algorithm are shown.
This paper deals with blind deconvolution algorithm for the images distored in the vector channel. The obtained algorithm is compared to one of the most effective pre-existing algorithms. The article shows the results of the simulation and the images of different noise levels restored by each of the algorithms.