Концепція зниження інформаційної інтенсивності трансформант інформативних сегментів зображення

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dc.citation.epage49
dc.citation.issue2
dc.citation.journalTitleІнфокомунікаційні технології та електронна інженерія
dc.citation.spage42
dc.contributor.affiliationХарківський національний університет імені В. Н. Каразіна
dc.contributor.affiliationХарківський національний університет Повітряних Сил імені Івана Кожедуба
dc.contributor.affiliationV. N. Karazin Kharkiv National University
dc.contributor.affiliationIvan Kozhedub National University of the Air Force
dc.contributor.authorБараннік, В.
dc.contributor.authorКрасноруцький, А.
dc.contributor.authorКолесник, В.
dc.contributor.authorBarannik, V.
dc.contributor.authorKrasnorutsky, A.
dc.contributor.authorKolesnyk, V.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2023-08-17T09:56:21Z
dc.date.available2023-08-17T09:56:21Z
dc.date.created2022-03-01
dc.date.issued2022-03-01
dc.description.abstractСтаття присвячена проблемі забезпечення користувачів потрібними якісними показниками надання дистанційного відеосервісу. Обгрунтовується дисбаланс між достовірністю отриманого відеозображення та часовими затримками в процесі доставки такого зображення по бездротовим каналам зв’язку. Для цього у статті запропоновано використати комплексовану методику технологічних рішень, що повязано з технологічними процесами зменшення бітової інтенсивності відеопотоку. Обгрунтовано, що зменшення інтенсивності відеопотоку досягається за рахунок усунення в сегменті кількості надмірності різних типів (статистична, психовізуальна, структурно-статистична, структурна). Надані технологічні етапи розробленого методу кодування трансформантінформативних сегментів зображення. Обгрунтовано, що кожен етап створеного методу, під час обробки, відповілає за усунення різного типу надміроності відеосегменту.
dc.description.abstractThe article is devoted to the problem of providing users with the necessary qualitative indicators of remote video service provision. The imbalance between the reliability of the received video image and time delays in the process of delivering such an image via wireless communication channels is substantiated. For this purpose, the article proposes to use an integrated method of technological solutions, which is connected with the technological processes of reducing the bit intensity of the video stream. It is justified that reducing the intensity of the video stream is achieved by eliminating the amount of redundancy of various types (statistical, psychovisual, structural-statistical, structural) in the segment. Technological stages of the developed method of coding transforms of informative image segments are provided. It is justified that each stage of the created method, during processing, is responsible for eliminating various types of video segment redundancy.
dc.format.extent42-49
dc.format.pages8
dc.identifier.citationБараннік В. Концепція зниження інформаційної інтенсивності трансформант інформативних сегментів зображення / В. Бараннік, А. Красноруцький, В. Колесник // Інфокомунікаційні технології та електронна інженерія. — Львів : Видавництво Львівської політехніки, 2022. — Том 2. — № 2. — С. 42–49.
dc.identifier.citationenBarannik V. The concept of reducing information intensity transformer of information segments of the image / V. Barannik, A. Krasnorutsky, V. Kolesnyk // Infocommunication Technologies and Electronic Engineering. — Lviv : Lviv Politechnic Publishing House, 2022. — Vol 2. — No 2. — P. 42–49.
dc.identifier.doidoi.org/10.23939/ictee2022.02.042
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/59690
dc.language.isouk
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofІнфокомунікаційні технології та електронна інженерія, 2 (2), 2022
dc.relation.ispartofInfocommunication Technologies and Electronic Engineering, 2 (2), 2022
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dc.relation.references[18] Barannik V., Babenko Yu., Kulitsa O., Barannik N., Khimenko V., Matviichuk-Yudina O. Significant Microsegment Transformants Encoding Method to Increase the Availability of Video Information Resource. Advanced Trends in Information Theory (IEEE ATIT 2020): proceedings of IEEE 2nd International Conference, 2020. P. 52–56. DOI: 10.1109/ATIT50783.2020.9349256.
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dc.relation.references[22] Barannik N. Method of Indirect Steganographic Coding of Information without Visual Distortion of the Video Container series. IEEE 2 nd International Conference on Advanced Trends in Information Theory (IEEE ATIT 2020), 2020. Pp. 57–61. DOI: 10.1109/ATIT50783.2020.9349262.
dc.relation.references[23] Barannik V., Barannik N., Barannik D. Indirect Steganographic Embedding Method Based On Modifications of The Basis of the Polyadic System. Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2020): proceedings of 15 th IEEE International Conference, 2020. P. 699–702. URL: https://doi.org/10.1109/TCSET49122.2020.235522.
dc.relation.references[24] Zemliachenko A., Ponomarenko N., Lukin V., Egiazarian K. and Astola J. “Still Image / Video Frame Lossy Compression Providing a Desired Visual Quality”, Multidimensional Systems and Signal Processing. Pp. 22, June 2015.
dc.relation.references[25] Bаrаnnіk V. V., Kаrреnkо S. Mеthоd оf thе 3-D іmаgе рrоcеssіng. Mоdеrn Рrоblеms оf Rаdіо Еngіnееrіng, Tеlеcоmmunіcаtіоns аnd Cоmрutеr Scіеncе (ІЕЕЕ TCSЕT 2008): proceedings of ІЕЕЕ Іntеrnаtіоnаl Cоnfеrеncе, 2008. P. 378–380.
dc.relation.references[26] Barannik V., Podlesnyi S. Structural slotting with uniform redistribution for enhancing trustworthiness of information streams, Telecommunications and Radio Engineering, 2017. Vol. 76, No 7. Pp. 607–615. DOI: 10.1615/TelecomRadEng.v76.i7.40.
dc.relation.references[27] Barannik V., Krasnorutsky A., Pasynchuk K., Babenko Yu., Stepanko O. Method for Restructuring Video Data in Compressed Coding Systems to Increase Reliability. Visnyk NTUU KPI Seriia–Radiotekhnika Radioaparatobuduvannia, 2022.Iss. 88. Pp. 50–59. DOI: 10.20535/RADAP.2022.88.50-59.
dc.relation.references[28] Barannik V., Hahanova A., Slobodyanyuk A. Architectural presentation of isotopic levels of relief of images. Experience of Designing and Application of CAD Systems in Microelectronics (CADSM): proceedings of ІЕЕЕ 10th International Conference, 2009.P. 385–387.
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dc.relation.referencesen[1] Sharma R., Bollavarapu S. Data Security using Compression and Cryptography Techniques. International Journal of Computer Applications, 2015. Vol. 117, No. 14. Pp. 15–18. DOI: 10.5120/20621-3342.
dc.relation.referencesen[2] Taubman D. and MarcellinM. JPEG2000 Image Compression Fundamentals Standards and Practice.Boston: Kluwer:Springer. Pp. 777, 2002.
dc.relation.referencesen[3] Li F., Krivenko S., LukinV. Two-step providing of desired quality in lossy image compression by SPIHT. Radioelektronni i komp’uterni sistemi. Radioelectronic and computer systems, 2020. No. 2 (94). Pp. 22–32. DOI: 10.32620/reks.2020.2.02.
dc.relation.referencesen[4] Olive Ira P. AM., Cintra Renato J., Bayer F. M., Kulasekera S. and Madanayake A. "Low-Complexity Image and Video Coding Based on an Approximate Discrete Tchebichef Transform", IEEE transactions on circuits and systems for video technology. Vol. 27, No. 5, 2017.
dc.relation.referencesen[5] Barannik V., Shulgin S., Krasnorutsky A., Slobodyanyuk O., Gurzhii P., Korolyova N. Methodological Fundamentals of Deciphering Coding of Aerophotography Segments on Special Equipment of Unmanned Complex. IEEE Advanced Trends in Information Theory (IEEE ATIT 2020): proceedings IEEE 2nd International Conference. 2020. P. 38–43. DOI: 10.1109/ATIT50783.2020.9349257.
dc.relation.referencesen[6] Barannik V., Kharchenko N., Othman Shadi O., Musienko A. A. "A method to control bit rate while comrressing rredicted frames". IEEE International Conference on The Exrerience of Designing and Arrlication of CAD Sustems in Microelectronics (IEEE CADSM 2015), 2015. Pr. 36–38. DOI: 10.1109/CADSM.2015.7230789.
dc.relation.referencesen[7] Barannik V. V., Krasnorutskyi A. A., Musienko A. R. Methodological Base For Transformants Representation In Nonequilibrium Positional Uneven-Diagonal Space. Science-Based Technologies. 2015. No. 3(27). P. 233–238.
dc.relation.referencesen[8] Wu Yu., Agaian S., Noonan J. Sudoku Associated Two Dimensional Bijections for Image Scrambling. IEEE Transactions on multimedia, 2012. 30 p. URL: https://arxiv.org/abs/1207.5856v1(accessed 7.04.2021).
dc.relation.referencesen[9] Wong K. W. Image encryption using chaotic maps. Intelligent Computing Based on Chaos, 2009. Vol. 184. Pp. 333–354. DOI: 10.1007/978-3-540-95972-4_16.
dc.relation.referencesen[10] Al-Khafaji G. and Al-Khafaji H."Medical Image Compression using Wavelet Quadrants of Polynomial Prediction Coding & Bit Plane Slicing". Vol. 4, No. 6, 2014.
dc.relation.referencesen[11] Wang S., Zhang X., Liu X., Zhang J., Ma S. and Gao W."Utility Driven Adaptive Preprocessing for Screen Content Video Compression", 2017, in IEEE Transactions on Multimedia. Vol. 19, No. 3. Pp. 660–667.
dc.relation.referencesen[12] Barannik V., Kharchenko N., Tverdokhleb V., Kulitsa O."The issue of timely delivery of video traffic with controlled loss of quality", in 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET).Lviv–Slavske, 2016. Pp. 902–904. DOI: 10.1109/TCSET.2016.7452220.
dc.relation.referencesen[13] Zhang Y., Negahdaripour S. and Li Q."Error-resilient coding for underwater video transmission", OCEANS 2016 MTS, IEEE Monterey, CA, 2016. Pp. 1–7.
dc.relation.referencesen[14] Barannik V., Tverdokhlib V., Dodukh A., Suprun O., Tarasenko D.Integration the non-equilibrium position encoding into the compression technology of the transformed images. IEEE 14th International Conference on East-West Design & Test Symposium (EWDTS, 2017), 2017. Pp. 1–5. DOI: 10.1109/EWDTS.2017.8110030.
dc.relation.referencesen[15] Zhou J., Liu X., Au O. C., Tang Y. Y. Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation. IEEE Transactions on Information Forensics and Security, 2014. Vol. 9, No. 1. Pp. 39–50. DOI: 10.1109/TIFS.2013.2291625.
dc.relation.referencesen[16] Miano J. Formats and image compression algorithms in action [Text]. K., Triumph, 2013, 336 p.
dc.relation.referencesen[17] Barannik V., Himenko V., Barannik N., Tverdokhlib V., Babenko Y. Method of coding dynamic sequence of frame-spline structures of provided frames in info-communications. IEEE 4rd International Conference on Advanced Information and Communications Technologies (IEEE AICT 2021). 2021. P. 414–418.
dc.relation.referencesen[18] Barannik V., Babenko Yu., Kulitsa O., Barannik N., Khimenko V., Matviichuk-Yudina O. Significant Microsegment Transformants Encoding Method to Increase the Availability of Video Information Resource. Advanced Trends in Information Theory (IEEE ATIT 2020): proceedings of IEEE 2nd International Conference, 2020. P. 52–56. DOI: 10.1109/ATIT50783.2020.9349256.
dc.relation.referencesen[19] Barannik V., Tarasenko D. "Method coding efficiency segments for information technology processing video". 4th International Scientific-Practical Conference on Problems of Infocommunications. Science and Technology (PIC S&T), 2017. Pp. 551–555. DOI: 10.1109/INFOCOMMST.2017.8246460.
dc.relation.referencesen[20] Okuwobi Idowu P.and Lu Y. H."A New Approach in Digital Image Compression Using Unequal Error Protection (UEP)",Applied Mechanics & Materials.No. 704. Pp. 403–407, 2015.
dc.relation.referencesen[21] Barannik V., Lytvinenko M., Okladnoy D., Surrun O."Descrirtion of the OFDM symbol with the helr of mathematical laws. Analysis of technologies that were used in this case". IEEE 2nd International Conference on Advanced Information and Communication Technologies (IEEE AICT 2017), 2017.Pr. 183–187. DOI: 10.1109/AIACT.2017.8020095.
dc.relation.referencesen[22] Barannik N. Method of Indirect Steganographic Coding of Information without Visual Distortion of the Video Container series. IEEE 2 nd International Conference on Advanced Trends in Information Theory (IEEE ATIT 2020), 2020. Pp. 57–61. DOI: 10.1109/ATIT50783.2020.9349262.
dc.relation.referencesen[23] Barannik V., Barannik N., Barannik D. Indirect Steganographic Embedding Method Based On Modifications of The Basis of the Polyadic System. Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET’2020): proceedings of 15 th IEEE International Conference, 2020. P. 699–702. URL: https://doi.org/10.1109/TCSET49122.2020.235522.
dc.relation.referencesen[24] Zemliachenko A., Ponomarenko N., Lukin V., Egiazarian K. and Astola J. "Still Image, Video Frame Lossy Compression Providing a Desired Visual Quality", Multidimensional Systems and Signal Processing. Pp. 22, June 2015.
dc.relation.referencesen[25] Barannik V. V., Karrenko S. Method of the 3-D image rrocessing. Modern Rroblems of Radio Engineering, Telecommunications and Comruter Science (IEEE TCSET 2008): proceedings of IEEE International Conference, 2008. P. 378–380.
dc.relation.referencesen[26] Barannik V., Podlesnyi S. Structural slotting with uniform redistribution for enhancing trustworthiness of information streams, Telecommunications and Radio Engineering, 2017. Vol. 76, No 7. Pp. 607–615. DOI: 10.1615/TelecomRadEng.v76.i7.40.
dc.relation.referencesen[27] Barannik V., Krasnorutsky A., Pasynchuk K., Babenko Yu., Stepanko O. Method for Restructuring Video Data in Compressed Coding Systems to Increase Reliability. Visnyk NTUU KPI Seriia–Radiotekhnika Radioaparatobuduvannia, 2022.Iss. 88. Pp. 50–59. DOI: 10.20535/RADAP.2022.88.50-59.
dc.relation.referencesen[28] Barannik V., Hahanova A., Slobodyanyuk A. Architectural presentation of isotopic levels of relief of images. Experience of Designing and Application of CAD Systems in Microelectronics (CADSM): proceedings of IEEE 10th International Conference, 2009.P. 385–387.
dc.relation.referencesen[29] Barannik V. V., Rodlesny S., Krasnorutskyi A., Musienko A., Himenko V. "The ensuring the integrity of information streams under the cyberattacks action". IEEE 15th East-West Design & Test Symrosium (IEEE EWDTS 2016), 2016. Pr. 1–5.
dc.relation.urihttps://arxiv.org/abs/1207.5856v1(accessed
dc.relation.urihttps://doi.org/10.1109/TCSET49122.2020.235522
dc.rights.holder© Національний університет “Львівська політехніка”, 2022
dc.subjectвідеозображення
dc.subjectкомпресія
dc.subjectквантування
dc.subjectінформаційна інтенсивність
dc.subjectструктурний кластер
dc.subjectкластеризований елемент
dc.subjectvideo image
dc.subjectcompression
dc.subjectquantization
dc.subjectinformation intensity
dc.subjectstructural cluster
dc.subjectclustered element
dc.subject.udc621.126
dc.titleКонцепція зниження інформаційної інтенсивності трансформант інформативних сегментів зображення
dc.title.alternativeThe concept of reducing information intensity transformer of information segments of the image
dc.typeArticle

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Infocommunication Technologies and Electronic Engineering. – 2022. – Vol. 2, No. 2