Design of artwork resource management system based on block classification coding and bit plane rearrangement

Area of Science:

• Digital Image Processing
• Art Resource Management
• Information Security

Background:

• Art market growth presents challenges in copyright protection, authenticity, and storage.
• Existing digital watermarking and compression methods for art lack robustness, image quality, and scalability.

Purpose of the Study:

• To propose an integrated algorithm for digital watermarking and compression of artwork images.
• To address limitations in robustness, image quality, capacity, and scalability of current methods.

Main Methods:

• Developed the Block Classification Coding-Bit Plane Rearrangement-Integrated Compression and Watermark Embedding (BCC-BPR-ICWE) algorithm.
• Utilized refined block classification coding (RS-BCC) and optimized bit plane rearrangement (BPR).

Main Results:

• Achieved superior watermarked image quality (PSNR > 57 dB, SSIM = 0.9993).
• Demonstrated high watermark embedding capacity (0.5 bpp).
• Showcased excellent tampering recovery performance (PSNR = 41.17 dB, SSIM = 0.9993).

Conclusions:

• The BCC-BPR-ICWE algorithm offers significant improvements over existing methods.
• The proposed technique is suitable for large-scale art resource management systems.
• Provides new directions for digital watermarking and compression in art management.