Using wavelet transform in image processing


  • Elmira Daiyrbayeva Kazakh academy of transport and communications named after M. Tynyshpaev
  • Murzin Feodor A.P. Ershov Institute of Informatics Systems SB RAS
  • Aigerim Yerimbetova Institute of Information and Computational Technologies CS MES RK
  • Ainur Toigozhinovа Kazakh academy of transport and communications named after M. Tynyshpaev


images, wavelet transform, noise, steganography.


At the present stage of globalization, the problem of information security remains relevant. It is necessary to commend the work of scientists in the areas of the possibility of delivering information in a confidential form by various methods. This issue is one of the priority areas in the field of steganography.

This article discusses the possibility of using a wavelet transform for processing (improving) digital images by transferring them to the transformation domain, and after processing - restoration using the inverse transformation operation. Computer image processing involves the processing of digital images using a PC or specialized devices built on digital signal processors. In this case, image processing is understood not only to improve the visual perception of images, but also to classify objects that are performed during image analysis.


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How to Cite

Daiyrbayeva, E., Feodor, M., Yerimbetova, A., & Toigozhinovа A. (2020). Using wavelet transform in image processing. ADVANCED TECHNOLOGIES AND COMPUTER SCIENCE, (2), 15–20. Retrieved from



Information Security and Data Protection