Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function
Alexander V. Kokoshkin, Evgeny P. Novichikhin
Kotelnikov Institute of Radioengineering and Electronics of RAS, Fryazino Branch, http://fire.relarn.ru/
Fryazino 141190, Moscow Region, Russian Federation
E-mail: email@example.com, firstname.lastname@example.org
Received April 05, 2020, peer-reviewed May 18, 2020, accepted May 29, 2020
In this paper, a comparative analysis of the methods for recovering images distorted by defocusing or blurring from incomplete data is performed using examples. Incomplete data means the absence of any image fragments that were retouched using different types of interpolation - linear, spline and the interpolation method for the sequential calculation of the Fourier spectrum (IMSCS) developed by us. Then, the famous deconvolution method, the Wiener Filter (WF), was applied to the entire image. Analysis of the quality of restoration, carried out on the example of aerospace images, suggests that using IMSCS to fill in missing fragments (gaps) is either preferred or no less competitive than alternative methods. This is a consequence of the fact that IMSCS does not just retouch the gap, but also tries to reconstruct the lost data.
: distorted images, remote sensing of the earth's surface, blurring, defocusing, missing fragments, interpolation, restoration
, 2020, 12(3):495-506.
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/361/12(4)495-506e.pdf