METHOD OF CLUSTERED TRANSFORMANTS BASED ON BLOCK CODING WITH LOCALLY MONOTONIC LENGTH DETERMINATION
DOI:
https://doi.org/10.18372/2310-5461.63.18971Keywords:
Images, Compression, Spectral Parametric Description, Clustering Transformant, Block CodesAbstract
The article shows that at present a rich number of different standards and technological solutions for coding information sources have been created. Video encoding accounts for the largest share of such solutions. But despite so many different approaches, existing compression methods cannot meet the needs determined by a set of system requirements. This primarily concerns the dependence of the compression level on the algorithmic complexity and the level of degradation of image quality according to the complex of visual assessments. This makes it possible to conclude that there is a need to improve image processing tools. The prospects for the development of statistical coding in the field of spectral transformations have been established. A spectral-parametric description of micro-fragments of images of uniform size is constructed here. The construction of such a description leads to a two-parametric representation of arrays of spectral elements. After that, compression is reduced to taking into account the relevant spatial features when reducing redundancy. However, a limitation for a further increase in compression may be the inhomogeneity of the sizes of the components of the spectral-parametric description (SPD) of the transformant. Hence, there is a need to harmonize SPD descriptions for a group of transformed micro-fragments. To do this, it is proposed to use approaches to the preliminary clustering of a group of transformed micro-fragments. At the same time, there is a need to organize compression taking into account the peculiarities of SPD homogeneity, features of transformed micro-fragments. An approach to the coordination of transformed micro-fragments in a group is substantiated in order to create an opportunity to take into account their aggregate features. In this direction, a method of clustering transformants by the size of the components of their SPD description has been developed. A model for assessing the informativeness of the aggregate DSS description of the cluster transformant has been built, taking into account the constraints on the lower limit of the range of the variant in slices. A possibility for further reduction in the amount of redundancy is shown. A method of compression of clustered transformants based on binary block encoding of the components of their SPD description in a differentially normalized space has been developed. It takes into account the features of the slices for the aggregate SPD description of the cluster transformer.
References
V. Barannik, O. Ignatyev, G. Pris, Y. Sidchenko and T. Belikova. "A Method of Encoding Video Information to Increase its Reliability in an Information and Telecommunications Network," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 203-206, doi: 10.1109/AICT61584.2023.10452419.
Thomas Abbott, Bevan Baas. A Scalable JPEG Encoder on a Many-Core Array. 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). 2023. pp. 411-418. doi bookmark: 10.1109/MCSoC60832.2023.00068.
Odarchenko R., Gnatyuk S., Gnatyuk V., Abakumova A. Security key indicators assessment for modern cellular networks. System Analysis & Intelligent Computing (SAIC): proceedings of the IEEE First International Conference, 2018. P 1-7. https://doi.org/10.1109/SAIC.2018.8516889.
Barannik, V. et al. Method of Safety of Informational Resources Utilizing the Indirect Steganography. In: Zawiślak, S., Rysiński, J. (eds) Engineer of the XXI Century. EngineerXXI 2018. Mechanisms and Machine Science, 2020. Vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-13321-4_17 ISSN 2211-0984.
João Ascenso, Elena Alshina, Touradj Ebrahimi. The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption. IEEE MultiMedia. Vol. 30 (Issue 1). 2023 doi: 10.1109/MMUL.2023.3245919.
Zia U., McCartney M., Scotney B.et al. Survey on image encryption techniques using chaotic maps in spatial, transform and spatiotemporal domains. International Journal of Information Security. 2022. Vol. 21. P. 917–935. DOI: 10.1007/s10207-022-00588-5.
Xiaolong Duan, Bin Li, Zhaoxia Yin, Xinpeng Zhang, Bin Luo. Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction. Expert Systems with Applications. vol. 229, Part A. 2023. https://doi.org/10.1016/j.eswa.2023.120416.
A. Krasnorutsky, V. Barannik, S. Shulgin, V. Kolesnyk, N. Kharchenko and K. Revva, "Integration of Video Image Decryption Coding into a Remote Video Information Service," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 1-6, doi: 10.1109/AICT61584.2023.10452679.
Козловський В., Толстікова О., Савченко А., Клобукова Л. Критерії вибору спектрально-ефективних сигналів у бездротових інформаційних мережах. Наукоємні технології. 2022. № 4 (56). С. 286 – 273. DOI: https://doi.org/ 10.18372/2310-5461.56.17125.
Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm. Overview of the versatile video coding (VVC) standard and its applications. IEEE Transactions on Circuits and Systems for Video Technology. vol. 31 (Issue 10). PP. 3736-3764, Oct. 2021. doi: 10.1109/TCSVT.2021.3101953.
Barannik V. et al.: Significant Microsegment Transformants Encoding Method to Increase the Availability of Video Information Resource. IEEE Advanced Trends in Information Theory (ATIT): proceedings of 2nd Intern. Conf. (Kyiv, Ukraine, November 25-27, 2020). Kyiv, 2020. Р. 52-56. DOI: 10.1109/ATIT50783.2020.9349256.
Barannik V. et al.: "The Methods of Intellectual Processing of Video Frames in Coding Systems in Progress Aeromonitor to Increase Efficiency and Semantic Integrity," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 53-56, doi: 10.1109/ATIT58178.2022.10024208.
P. Bas, T. Filler, and T. Pevný. Break our steganographic system - the ins and outs of organizing BOSS. In T. Filler, T. Pevný, A. Ker, and S. Craver, editors, Information Hiding, 13th International Conference. vol. 6958 of Lecture Notes in Computer Science. pp. 59-70. Prague, Czech Republic. 2011. https://doi.org/10.1007/978-3-642-24178-9_5.
Бараннік В.В., Цімура Ю.В., Гаврилов Д.С., Гуржій П.М., Колесник В.О. Метод адаптивного цілісного арифметичного кодування з врахуванням RLE-перетворення. Системи і технології зв’язку, інформатизації та кібербезпеки. 2023. №3. С. 5 – 13. doi: 10.58254/viti.3.2023.01.05
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray. Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023. pp. 19627-19638. DOI Bookmark: 10.1109/CVPR52729.2023.01880.
Eli Dworetzky, PictureEdgar Kaziakhmedov, PictureJessica Fridrich. Advancing the JPEG Compatibility Attack: Theory, Performance, Robustness, and Practice. Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security. 2023. pp. 67–79. https://doi.org/10.1145/3577163.3595090.
V. Barannik and A. Shiryaev, "Quadrature compression of images in polyadic space," Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science, 2012, pp. 422-422. INSPEC Accession Number: 12713484.
G. J. Sullivan, J.-R. Ohm, W.-J. Han and T. Wiegand, "Overview of the high efficiency video coding (HEVC) standard"ю IEEE Transactions on Circuits and Systems for Video Technology. vol. 22 (Issue. 12). pp. 1649-1668. 2012. doi: 10.1109/TCSVT.2012.2221191
Одарченко Р., Рябенко М., Іванова М., Аль-Мудхафар Акіл Абдулхусейн М. Метод аналізу взаємодії параметрів QOE та QOS на основі алгоритмів керування машинами. Наукоємні технології. 2022. № 4 (56). С. 305 – 316. DOI: https://doi.org/ 10.18372/2310-5461.56.17130.
Barannik, V. et al. Development of Adaptive Arithmetic Coding Method to the Sequence of Bits. In: Zawiślak, S., Rysiński, J. (eds) Engineer of the XXI Century. EngineerXXI 2018. Mechanisms and Machine Science, 2020. vol 70. Springer, Cham. https://doi.org/10.1007/978-3-030-13321-4_18 ISSN 2211-0984.
Barannik V., Khimenko V., Barannik N., Method of indirect information hiding in the process of video compression. Radioelectronic and Computer Systems. 2021. №. 4. PP. 119–131. https://doi.org/10.32620/reks.2021.4.
Цімура Ю., Костромицький А., Суханов О., Думич C. Метод кодування відеоданих в спектрально-параметричному просторі. Інфокомунікаційні технології та електронна інженерія. 2024. Випуск 4 (1). С 61 – 69. doi: 10.23939/ictee2024.01.061.
Barannik V., Krasnorutsky А., Kolesnik V., Barannik V., Pchelnikov S., Zeleny P. Compression method in terms of ensuring the fidelity of video images in infocommunication networks. Radioelectronic and Computer Systems, 2022, no 4(100). pp.10 – 24. DOI: 10.32620/reks.2022.5/09.
Barannik, V. et al. (2023). A Method of Scrambling for the System of Cryptocompression of Codograms Service Components. In: Klymash, M., Luntovskyy, A., Beshley, M., Melnyk, I., Schill, A. (eds) Emerging Networking in the Digital Transformation Age. TCSET 2022. Lecture Notes in Electrical Engineering, vol 965. Springer, Switzerland, Cham. https://doi.org/10.1007/978-3-031-24963-1_26.
Цімура Ю.В., Юдін О.К., Коляденко Ю.Ю., Єрошенко В.П., Метод кодування фрагментів-контейнерів в спектрально-параметричному просторі. Наукоємні технології. 2024. № 1(61). С. 36 – 43. doi: 10.18372/2310-5461.61.18513.
Бараннік В.В., Бараннік Д.В., Онищенко Р.С., Ревва К.В., Бабенко Ю.М. Метод оцінювання ефективності усічено-позиційного кодування для інфокомунікаційних систем. Наукоємні технології. 2024. 2. С. 175-184
Бараннік В.В., Єлісєєв Є.С., Цімура Ю.В., Бабенко М.В. Метод кластеризації послідовності трансформант за структурними ознаками їх спектрально-параметричного опису. Наукоємні технології. 2024. 2. С. 185-192.
T. Belikova and S. Sidchenko, "The Method Drawing up the Text with the Set Suggestive Orientation to Create a Hidden Channel," 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2022, pp. 106-110, doi: 10.1109/ATIT58178.2022.10024206.
V. Barannik, A. Berchanov, V. Barannik, M. Babenko, R. Onyshchenko and L. Kolodiichuk, "Method of Mini Segments Encoding in Difference Space Using Haar Wavelet," 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv, Ukraine, 2023, pp. 1-4, doi: 10.1109/AICT61584.2023.10452674.
Цімура Ю.В., Бабенко Ю. М., Бучик С.С., Пчельніков С.І., Ушань В.М. Метод кодування низькоінформативних сегментів відеоінформаційного ресурсу для підвищення їх доступності. Наукоємні технології. 2023. № 1. С. 20 – 27. DOI: https://doi.org/10.18372/2310-5461.57.17441.
Barannik, V. et al. (2024). Method of Coding Video Images Based on Meta-Determination of Segments. In: Luntovskyy, A., Klymash, M., Melnyk, I., Beshley, M., Schill, A. (eds) Digital Ecosystems: Interconnecting Advanced Networks with AI Applications. TCSET 2024. Lecture Notes in Electrical Engineering, vol 1198. Springer, Cham. https://doi.org/10.1007/978-3-031-61221-3_27.
Barannik V., Karpenko S. Method of the 3-D image processing. Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET): proceedings of Intern. Conf. (Lviv-Slavsko, Ukraine, February 19-23, 2008), Lviv-Slavsko, 2008. Р. 378-380.
Цімура Ю. В., Юдін О. К., Мельников О. Є., Коляденко Ю. Ю., Гуржій П. М. Модель оцінювання інформативності спектрально-параметричного опису трансформованих відео фрагментів. Наукоємні технології. № 4(60). 2023. С 423 – 429. doi: 10.18372/2310-5461.60.18272.
