基于目标检测的自适应混沌压缩传感算法
Menggui Zeng1, Bingxue Jin1, Lingfeng Liu2
1School of Software, Nanchang University, Nanchang 330029, China.
Journal of advanced research
|November 12, 2025
概括
本研究介绍了一种使用压缩传感来减少文件大小的新型图像压缩方法. 它在重要区域优先考虑视觉质量,平衡压缩比和图像保真度,以实现高效的存储和传输.
科学领域:
- 计算机科学 计算机科学
- 信息理论 信息理论
- 信号处理 信号处理
背景情况:
- 图像信息的扩散需要高效的存储和传输解决方案.
- 图像压缩通过消除冗余,降低存储和带宽需求来减少数据大小.
- 压缩意识技术整合采样和压缩以提高效率.
研究的目的:
- 提出一个基于压缩传感的图像压缩方案.
- 减轻储存和传输负担.
- 维护关键图像区域的视觉质量.
主要方法:
- 使用目标检测将图像细分为重要的和不重要的区域.
- 根据区域重要性,采用不同的压缩级别.
- 使用混乱系统生成测量矩阵和随机坐标.
- 随机坐标替换策略将重要的区域像素嵌入到非重要的区域中.
主要成果:
- 对非重要的区域进行有效的压缩.
- 在重要区域维护视觉真实性.
- 在压缩比和图像质量之间实现了最佳平衡.
结论:
- 差异化压缩策略有效地减少文件大小.
- 确保关键信息的清晰度和可恢复性.
- 混乱系统生成的部分哈达马德矩阵和随机坐标替换增强了存储,传输效率和信息安全.
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