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

With the vigorous development of the art market, the management of art resources is confronted with increasingly difficult challenges, such as copyright protection, authenticity verification, and efficient storage. Currently, the digital watermarking and compression schemes applied to artworks struggle to achieve an effective balance among robustness, image quality preservation, and watermark capacity. Moreover, they lack sufficient scalability when dealing with large-scale datasets. To address these issues, this article proposes an innovative algorithm that integrates watermarking and compression for artwork images, namely the Block Classification Coding-Bit Plane Rearrangement-Integrated Compression and Watermark Embedding (BCC-BPR-ICWE) algorithm. By employing refined block classification coding (RS-BCC) and optimized bit plane rearrangement (BPR) techniques, this algorithm significantly enhances the watermark embedding capacity and robustness while ensuring image quality. Experimental results demonstrate that, compared to existing classical algorithms, the proposed method excels in terms of watermarked image quality (PSNR > 57 dB, SSIM = 0.9993), watermark capacity (0.5 bpp), and tampering recovery performance (PSNR = 41.17 dB, SSIM = 0.9993). The research in this article provides strong support for its practical application in large-scale art resource management systems. The proposed technique not only promotes the application of digital watermarking and compression technologies in the field of art management but also offers new ideas and directions for the future development of related technologies.