The article was aimed at improving the amplitude filtering process of the sampled image through the use of generalized Q-preparation. The existing correlation algorithms for image preprocessing were analyzed and their advantages and disadvantages were identified. The process of amplitude filtering and the main methods of preprocessing with such filtering were considered. A method of amplitude filtering of images based on the generalized Q-transformation with the use of sum-difference preprocessing of images has been developed. The efficiency of this method was analyzed, and a variant of the scheme for the corresponding preprocessing of images was proposed. The efficiency of the method was confirmed by computer simulation.


amplitude filtering; generalized Q-preparation; correlation algorithms

Avrunin O. G., Nosova Y. V., Abdelhamid I. Y., Pavlov S. V., Shushliapina N. O., Bouhlal N. A., Harasim D.: Research active posterior rhinomanometry tomography method for nasal breathing determining violations. Sensors 21(24), 2021, 1–27. DOI:

Bochkarev A. M.: Correlation-Navigation Navigation Systems. Foreign radio electronics 9, 1981, 12–16.

Cai Y., Liu Z., Wang H., Sun X.: Saliency-Based Pedestrian Detection in Far Infrared Images. IEEE Access 5, 2017, 5013–5019. DOI:

Dougherty E. R.: Digital Image Processing Methods. CRC Press, Boca Raton 2020. DOI:

Gan W. S.: Signal Processing and Image Processing for Acoustical Imaging. Springer, Singapore 2020. DOI:

Image correlation analysis system. Cipher "Cyber" – Research report. Vinnitsa Polytechnic Institute N01890065739, Vinnitsa 1991.

Kutaev Y. F.: Systemic correlation-extreme measurement of coordinates with generalized Q-preparation of images. VNTU, Vinnitsa 1989

Nosova Y. V., Tymkovych M. Y., et al.: Peculiarities of pre-processing of tomographic images for segmentation of paranasal sinuses. IEEE 39th International Conference on Electronics and Nanotechnology, ELNANO 2019, 489–492. DOI:

Pavlov S. V., Vassilenko V. B., Saldan I. R., Vovkotrub D. V., Poplavskaya A. A., Kuzin O. O.: Methods of processing biomedical image of retinal macular region of the eye. Proc. of SPIE 9961, 2016, 99610X. DOI:

Pogribnoi V. A.: Airborne signal processing systems. Kiev, Naukova Dumka 1984.

Pratt W.: Digital image processing (Т. 1 & 2). Wiley, New York 1982.

Sacerdoti F.: Digital Image Processing. In: Sacerdoti, F., Giordano, A., Cavaliere, C. (eds): Advanced Imaging Techniques in Clinical Pathology. Current Clinical Pathology. Humana Press, New York 2016. DOI:

Surabhi N., Unnithan S.: Image Compression Techniques: A Review. IJDER 5(1), 2017, 585–589.

Timchenko L. I., Kokriatskaia N. I. et al.: Analysis of computational processes of pyramidal and parallel-hierarchical processing of information. Proc. of SPIE 10808, 2018, 1080822.

Timchenko L. I., Kokryatskaya N. I., Melnikov V. V., Kosenko G. L.: Method of forecasting energy center positions of laser beam spot images using a parallel hierarchical network for optical communication systems. J. Optical Engineering 52(5), 2013, 055003. DOI:

Trishch R., Nechuiviter O., Vasilevskyi O., Dyadyura K., Tsykhanovska I., Yakovlev M.: Qualimetric method of assessing risks of low quality products. MM Science Journal 2021(4), 2021, 4769–4774. DOI:

Tulbure A., Tulbure A. A.: The use of image recognition systems in manufacturing processes. IEEE International Conference on Automation, Quality and Testing, Robotics. Cluj-Napoca 2018.

Tymkovych M., Avrunin O. et al.: Ice crystals microscopic images segmentation based on active contours. IEEE 39th International Conference on Electronics and Nanotechnology, ELNANO 2019, 493–496. DOI:

Vasilevskyi O., Koval M., Kravets S.: Indicators of reproducibility and suitability for assessing the quality of production services. Acta IMEKO 10(4), 2021, 54–61. DOI:

Vasilevskyi O., Kulakov P., Kompanets D., Lysenko O. et al.: New approach to assessing the dynamic uncertainty of measuring devices. Proc. of SPIE 10808, 2018, 108082E.

Vyatkin S. I., Romanyuk S. A. et al.: Using lights in a volume-oriented rendering. Proc. of SPIE 10445, 2017, 104450U. DOI:

Wójcik W., Pavlov S., Kalimoldayev M.: Information Technology in Medical Diagnostics II. Taylor & Francis Group, CRC Press, Balkema book, London 2019. DOI:

Zabolotna N. I., Pavlov S. V., Ushenko A. G., Karachevtsev A. O., Savich V. O. et al.: System of the phase tomography of optically anisotropic polycrystalline films of biological fluids. Proc. of SPIE 9166, 2014, 916616. DOI:


Published : 2022-12-30

Timchenko, L., Kokriatskaia, N., Rozvodiuk, M., Tverdomed, V., Kutaev, Y., Smailova, S., Plisenko, V., Semenova, L., & Zhuk, D. (2022). THE USE OF Q-PREPARATION FOR AMPLITUDE FILTERING OF DISCRETED IMAGE. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 12(4), 41-46.

Leonid Timchenko
State University of Infrastructure and Technology  Ukraine
Natalia Kokriatskaia 
State University of Infrastructure and Technology  Ukraine
Mykhailo Rozvodiuk 
Vinnytsia National Technical University  Ukraine
Volodymyr Tverdomed 
State University of Infrastructure and Technology  Ukraine
Yuri Kutaev 
State University of Infrastructure and Technology  Ukraine
Saule Smailova 
D.Serikbayev East Kazakhstan State Technical University  Kazakhstan
Vladyslav Plisenko 
State University of Infrastructure and Technology  Ukraine
Liudmyla Semenova 
State University of Infrastructure and Technology  Ukraine
Dmytro Zhuk 
State University of Infrastructure and Technology  Ukraine