基于区块分类编码和位平面重排的艺术品资源管理系统的设计
Xiaomeng Xia1,2
1Culture Design Lab, Graduate School of Techno Design, Kookmin University, Seoul, Republic of South Korea.
PeerJ. Computer science
|September 24, 2025
概括
本研究介绍了一种新的艺术资源管理算法,集成数字水印和压缩,以提高版权保护和大数据集的存储效率.
科学领域:
- 数字图像处理 数字图像处理
- 艺术资源管理 艺术资源管理
- 信息安全 信息安全
背景情况:
- 艺术市场的增长在版权保护,真实性和存储方面带来了挑战.
- 现有的数字水印和艺术压缩方法缺乏稳定性,图像质量和可扩展性.
研究的目的:
- 为数字水印和艺术品图像压缩提出一个集成的算法.
- 解决当前方法在强度,图像质量,容量和可扩展性方面的局限性.
主要方法:
- 开发了区块分类编码-比特平面重排-集成压缩和水标嵌入 (BCC-BPR-ICWE) 算法.
- 使用了精细的区块分类编码 (RS-BCC) 和优化的位平面重排 (BPR).
主要成果:
- 实现了优越的水印图像质量 (PSNR > 57 dB,SSIM = 0.9993).
- 证明了高水印嵌入能力 (0.5 bpp).
- 展示了出色的改恢复性能 (PSNR=41.17 dB,SSIM=0.9993) 进行了改.
结论:
- BCC-BPR-ICWE算法比现有方法提供了显著的改进.
- 拟议的技术适用于大型艺术资源管理系统.
- 为艺术品管理中的数字水印和压缩提供了新的方向.
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