高射线泰勒优化的音调映射处理器,用于30 FPS的自适应4K HDR视频
Xianglong Wang1, Zhiyong Lai1, Lei Chen1
1School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
本研究介绍了一种有效的自适应性高动态范围 (HDR) 音色映射处理器,用于实时视觉应用. 新的设计提高了图像质量和处理速度,克服了当前低动态范围 (LDR) 系统的局限性.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 硬件加速器 硬件加速器
背景情况:
- 高动态范围 (HDR) 图像提供了卓越的视觉真实性,但面临着实时处理的挑战.
- 现有的低动态范围 (LDR) 系统和复杂的音调映射算法限制了实际的HDR应用.
- 对实时HDR处理的需求在计算机视觉,摄影和医疗成像领域不断增长.
研究的目的:
- 开发一个具有高计算效率和强大的图像质量的自适应HDR音色映射处理器.
- 为了在不同的和波动的照明条件下实现一致的性能.
- 为了加速高分辨率,实时应用的HDR处理.
主要方法:
- 在双边过框架中集成的暴露适应因子可以动态优化参数.
- 一个高根的泰勒扩展技术加速浮点对数和指数运算.
- 在Xilinx XCVU9P FPGA上实现硬件加速.
主要成果:
- 该处理器以每秒30 (FPS) 的速度实现4K视频处理,并以250MHz运行.
- 显示出卓越的图像保真度,平均音色映射质量指数 (TMQI) 为0.9314.
- 与最先进的设计相比,实现了43%的逻辑资源减少.
结论:
- 拟议的自适应HDR音色映射处理器在吞吐量和硬件效率上提供了显著的改进.
- 实现实时HDR处理,用于高分辨率应用.
- 在性能和资源利用方面都超过现有解决方案.
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