Vol. 15, no.3, 2023
РусскийEnglish
INFORMATION TECHNOLOGIES
EVALUATION OF IMAGES QUALITY OBTAINED BY REMOTE SENSING
Alexander V. Kokoshkin, Evgeny P. Novichikhin
Kotelnikov Institute of Radioengineering and Electronics of RAS, Fryazinsky branch, http://fireras.su/
Fryazino 141190, Moscow region, Russian Federation
E-mail: shvarts65@mail.ru, epnov@mail.ru
Received March 28, 2023, peer-reviewed April 03, 2023, accepted April 10, 2023
Abstract: Testing of digital images restoration by methods of sequentially calculated Fourier spectrum interpolation, spline interpolation, projections onto convex sets and amplitude iterations is proposed. The task is a reconstruction of the sparseness modeled according to the randomly uniform law (90 percent of the information is missing). In addition to the well-known image quality estimates, new ones are introduced - a measure of histogram similarity, the rms deviation of the difference in phase spectra. It is shown that the proposed criteria are effective for assessing the quality of images obtained by remote sensing.
Keywords: remote sensing, image processing, objective evaluation of the efficiency of reconstruction methods, measure of histogram similarity, standard deviation of phase spectrum difference
UDC 621.397
RENSIT, 2023, 15(1):327-334e DOI: 10.17725/rensit.2023.15.327
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/507/15(3)327-334e.pdf