KEYWORDS: Image restoration, System identification, Image deconvolution, Point spread functions, Deconvolution, Convolution, Algorithms, Computer simulations, Signal processing, Signal to noise ratio, Neodymium
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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.