一种低延迟的动态范围压缩和对比度增强算法,基于未冷却的红外传感器,具有局部最佳对比度.
Youpan Zhu1,2, Yongkang Zhou2,3, Weiqi Jin1
1School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, China.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
这项研究引入了一种用于红外图像处理的新算法,该算法可以实时压缩高动态范围图像. 动态范围压缩和增强算法 (DRCE-LOC) 有效地保存图像细节并提高视觉质量.
科学领域:
- 红外图像处理 红外图像处理
- 计算机视觉 计算机视觉 计算机视觉
- 图像压缩 图像压缩
背景情况:
- 高动态范围 (HDR) 到低动态范围 (LDR) 的图像压缩对于红外成像至关重要.
- 在动态范围压缩过程中保留图像细节仍然是一个挑战.
研究的目的:
- 为红外图像开发实时动态范围压缩和增强算法.
- 改善处理红外图像中的图像细节的保存和视觉质量.
主要方法:
- 拟议的动态范围压缩和增强算法 (DRCE-LOC) 涉及阻断图像以确定局部最佳拉伸系数.
- 它将图像分为背景和详细层,自适应地压缩背景并增强细节.
- 该算法将增强的细节与压缩的背景合并,创建一个8位图像.
主要成果:
- 在FPGA上实现了DRCE-LOC算法,证明了高效的资源利用 (2.2554 Mb 块内存) 和低处理延迟 (0.018 秒).
- 在各种场景 (丰富的场景,小目标,室内场景) 中进行的比较分析显示,与主流算法相比,性能优越.
- 该算法在实时处理,资源效率,细节保存和视觉效果方面表现出色.
结论:
- DRCE-LOC算法为实时红外图像动态范围的压缩和增强提供了卓越的解决方案.
- 它有效地平衡了红外成像应用的压缩,细节保存和视觉增强.
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