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СИСТЕМНИЙ АНАЛІЗ ТА АЛГОРИТМІЗАЦІЯ МЕТОДІВ УСУНЕННЯ СТРУКТУРНОЇ НАДМІРНОСТІ В КОЛІРНИХ МОДЕЛЯХ ЦИФРОВИХ ЗОБРАЖЕНЬ.

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Title: СИСТЕМНИЙ АНАЛІЗ ТА АЛГОРИТМІЗАЦІЯ МЕТОДІВ УСУНЕННЯ СТРУКТУРНОЇ НАДМІРНОСТІ В КОЛІРНИХ МОДЕЛЯХ ЦИФРОВИХ ЗОБРАЖЕНЬ.
Alternate Title: SYSTEM ANALYSIS AND ALGORITHMIZATION OF STRUCTURAL REDUNDANCY ELIMINATION METHODS IN DIGITAL IMAGE COLOR MODELS.
Authors: Павлишко, А. В.1 pavlyshko.a.v@op.edu.ua, Кіркопуло, К. Г.1 kirkopulo.k.g@op.edu.ua
Source: Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì. 2026, Vol. 16 Issue 3, p509-514. 6p.
Subjects: Lossless data compression, Color space, Image compression, Data compression
Abstract: The article addresses the pressing issue of information redundancy in digital image representation methods. Traditional approaches to storing graphical data in digital photographs using CMYK, LAB, and HSB color models employ 8-bit addressing for each channel, which does not correspond to their physical dynamic range (0–100%). This paper proposes and mathematically substantiates a bit-packing method that eliminates structural redundancy by redistributing unused high-order bits. The authors have developed two implementation algorithms for this method: sequential bit aggregation and cyclic bit shifting. Theoretical analysis results indicate that the proposed approach provides stable lossless compression of 12.5% for the CMYK model, 8.33% for HSB, and 4.16% for LAB. It has been established that the method is effective for any images within these color models and can serve as a preprocessor for classical compression algorithms (LZW, DEFLATE), creating a cumulative memory-saving effect. This work holds high practical significance for precision printing and professional color correction, enabling the optimization of storage and data transmission resources without degrading image quality. [ABSTRACT FROM AUTHOR]
Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: СИСТЕМНИЙ АНАЛІЗ ТА АЛГОРИТМІЗАЦІЯ МЕТОДІВ УСУНЕННЯ СТРУКТУРНОЇ НАДМІРНОСТІ В КОЛІРНИХ МОДЕЛЯХ ЦИФРОВИХ ЗОБРАЖЕНЬ.
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  Data: The article addresses the pressing issue of information redundancy in digital image representation methods. Traditional approaches to storing graphical data in digital photographs using CMYK, LAB, and HSB color models employ 8-bit addressing for each channel, which does not correspond to their physical dynamic range (0–100%). This paper proposes and mathematically substantiates a bit-packing method that eliminates structural redundancy by redistributing unused high-order bits. The authors have developed two implementation algorithms for this method: sequential bit aggregation and cyclic bit shifting. Theoretical analysis results indicate that the proposed approach provides stable lossless compression of 12.5% for the CMYK model, 8.33% for HSB, and 4.16% for LAB. It has been established that the method is effective for any images within these color models and can serve as a preprocessor for classical compression algorithms (LZW, DEFLATE), creating a cumulative memory-saving effect. This work holds high practical significance for precision printing and professional color correction, enabling the optimization of storage and data transmission resources without degrading image quality. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.15276/imms.v16.no3.509
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        Text: Ukrainian
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        StartPage: 509
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      – SubjectFull: Lossless data compression
        Type: general
      – SubjectFull: Color space
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      – SubjectFull: Image compression
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      – TitleFull: СИСТЕМНИЙ АНАЛІЗ ТА АЛГОРИТМІЗАЦІЯ МЕТОДІВ УСУНЕННЯ СТРУКТУРНОЇ НАДМІРНОСТІ В КОЛІРНИХ МОДЕЛЯХ ЦИФРОВИХ ЗОБРАЖЕНЬ.
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            NameFull: Павлишко, А. В.
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            – D: 01
              M: 07
              Text: 2026
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              Y: 2026
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            – TitleFull: Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì
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