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    This study introduces a novel image coding method. It embeds data by creating and camouflaging a dotted pattern, achieving high-quality results comparable to current techniques.

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    Area of Science:

    • Computer Science
    • Digital Signal Processing

    Background:

    • Existing image coding techniques face challenges in balancing data embedding and visual quality.
    • Texture synthesis methods are crucial for realistic image generation.

    Purpose of the Study:

    • To develop an innovative image coding approach that embeds data within a textured pattern.
    • To achieve high-fidelity camouflage of embedded data, maintaining visual quality.

    Main Methods:

    • A regularly arranged dotted pattern is generated using colors derived from a texture sample.
    • The dotted pattern's colors correspond to the features of the embedded data.
    • The pattern is then camouflaged using the same texture sample.

    Main Results:

    • The proposed method successfully embeds data within a textured visual representation.
    • Camouflage preserves the visual quality of the image, comparable to existing synthesis techniques.
    • The approach offers a novel way to integrate data embedding and texture synthesis.

    Conclusions:

    • The presented image coding approach offers a viable alternative for data embedding.
    • This method demonstrates effective camouflage and quality preservation in image synthesis.
    • Further research can explore applications in steganography and secure image communication.