Image Compression Using Discrete Weyl-Heisenberg Transform

Asiryan, V.M.; Volchkov, V. P.; Papulovskaya, N.V.

doi:10.1109/usbereit48449.2020.9117707

Cited by 3 publications

(1 citation statement)

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“…Another possibility is discrete Weyl transform and Karhunen-Loève transforms with the core to be adapted to the data, allowing a reduction of the linear relationship between them, avoiding redundancy contained in them. The nature of the data turns out to be relevant since, as there must be no linear relationship, it is mandatory to calculate a correlation that must be null., Asiryan et al, 2020;Pedrini and Schwartz, 2008;Qiu et al, 2016. • It is essential to note that the dataset, despite containing authentic and manipulated images, is perfectly balanced, containing the same number of authentic and manipulated images. Taking into account how the images were obtained by a camera, it was documented in chapter 2 that the retouching process, in order to reduce the image size, affects it at the pixel level.…”

Section: Results Analysismentioning

confidence: 99%

Benford's law applied to digital forensic analysis

Fernandes

Antunes

2023

Forensic Science International: Digital Investigation

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Section: Results Analysismentioning

confidence: 99%

Benford's law applied to digital forensic analysis

Fernandes

Antunes

2023

Forensic Science International: Digital Investigation

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Weyl-Heisenberg Transform Capabilities in JPEG Compression Standard

Asiryan

Volchkov

Papulovskaya

2021

2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

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Formation of Mathematical and Algorithmic Competence within the Framework of the Discipline “Information Theory” According to “Information Security” Enlarged Groups of Specialties and Direction

Lazareva

2023

Prepodavatel XXI Vek

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The article considers the formation of mathematical and algorithmic competence within the discipline “Information Theory”, as well as overcoming the interdisciplinary gap of fundamental areas of knowledge. The author provides justification of the choice of this discipline, clarification of its role both in the educational process and as necessary for further qualitative mastering of disciplines of the professional cycle, in particular, for solving professional problems. When conducting this study, the author proceeded from the features of this discipline and its role in the educational process in the directions of the Enlarged Groups of Specialities and Directions “Information Security”. Within the framework of the study below, the systematic approach to the structure in general and interdisciplinary interaction in particular in the discipline “Information Theory” prevails. The examples of this interdisciplinary interaction of fundamental disciplines within the framework of “Information Theory” considered in the article represent the justification for the designation of the formed competence (mathematical-algorithmic), as well as the uniqueness and necessity of its formation in the process of teaching students in the directions of EGSD “Information Security”. The results of the study are of practical interest for teachers, students, as well as for potential employers of graduates of the directions of EGSD “Information Security”, because the effectiveness of further training and solving practice-oriented problems depends on the quality of mastering this discipline.

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Image Compression Using Discrete Weyl-Heisenberg Transform

Cited by 3 publications

References 8 publications

Benford's law applied to digital forensic analysis

Benford's law applied to digital forensic analysis

Weyl-Heisenberg Transform Capabilities in JPEG Compression Standard

Formation of Mathematical and Algorithmic Competence within the Framework of the Discipline “Information Theory” According to “Information Security” Enlarged Groups of Specialties and Direction

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