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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 5, pp. 26-36

Automatic selection of image compression parameters with losses based on invariant moments for Earth remote sensing purposes

D.Yu. Starobinets 1 , A.D. Khomonenko 2, 1 , N.A. Gavrilova 2 
1 A.F. Mozhaisky Military Space Academy, Saint Petersburg, Russia
2 Emperor Alexander I Petersburg State Transport University, Saint Petersburg, Russia
Accepted: 07.07.2017
DOI: 10.21046/2070-7401-2017-14-5-26-36
An approach is proposed to automatically select parameters for compressing images with losses based on the evaluation of invariant moments. The choice of parameters is carried out with respect to discrete cosine transform and wavelet transformation as part of JPEG and JPEG2000 compression algorithms. The criterion for assessing the quality of images is the ability to recognize in the compressed image the objects that could be recognized in the original image. To assess the quality of the compressed image, an expert approach was previously used, which consists in evaluating the possibility of visual recognition of controlled objects by an expert manually. To automate the analysis of the quality of the compressed image, seven invariant moments are calculated for image fragments that are invariant with respect to transfers, axial symmetry, rotations, and also tensile and contractions. It is shown that for each class of images it is possible to specify an index of the accuracy of the correspondence of the invariants of moments to the standard. It sets a significant digit for each of the invariants, by the change of which we can conclude that there is a reference object on the image fragment. The parameters are determined from the conditions for obtaining the minimum volume of the compressed file with the given quality requirements for the image. Numerical examples of definition of compression parameters of Earth remote sensing images are presented.
Keywords: image compression, invariant moments, discrete cosine transform, wavelet transform, JPEG, JPEG2000 algorithms, remote sensing of the Earth
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