Modified gradient descent method for image restoration

Artyom Makovetskii; Vitaly Kober

doi:10.1117/12.2022647

26 September 2013 Modified gradient descent method for image restoration

Artyom Makovetskii, Vitaly Kober

Proceedings Volume 8856, Applications of Digital Image Processing XXXVI; 885608 (2013) https://doi.org/10.1117/12.2022647
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

function of two variables distorted by a known linear operator and additive noise is usually used in the problem of image restoration. It was shown that to solve the problem metrical as well as topological characteristics of the function of two variables should be used. In paper with the help of spectral analysis we derive conditions when the gradient decent method is able to restore images. Computer simulation results are provided to illustrate the performance of the gradient decent method for restoration of uniformly blurred signals.

Citation Download Citation

Artyom Makovetskii and Vitaly Kober "Modified gradient descent method for image restoration", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885608 (26 September 2013); https://doi.org/10.1117/12.2022647

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