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| """
Lofic HDR 原理：单次曝光实现高动态范围
"""
import numpy as np
class LoficHDR:
"""
Lofic HDR 2.0 模拟
传统 HDR: 多次曝光合成 → 运动模糊
Lofic HDR: 单次曝光 + 溢出电容 → 无运动模糊
"""
def __init__(self, full_well_high=4000, overflow_cap=60000):
self.fw_high = full_well_high
self.overflow = overflow_cap
def simulate(self, scene_radiance: np.ndarray) -> dict:
"""
模拟 Lofic HDR 成像
Args:
scene_radiance: 场景辐照度 (0-1)
Returns:
{'hdr_image': array, 'dr_db': float}
"""
high_gain = np.clip(scene_radiance * self.fw_high, 0, self.fw_high)
overflow = np.clip(
scene_radiance * 60000 - self.fw_high, 0, self.overflow
)
hdr = high_gain + overflow
dr_db = 20 * np.log10(self.fw_high + self.overflow)
return {
'hdr_image': hdr,
'high_gain': high_gain,
'overflow': overflow,
'dr_db': dr_db
}
if __name__ == "__main__":
lofic = LoficHDR()
scene = np.array([0.01, 0.1, 0.5, 0.8, 0.95, 1.0])
result = lofic.simulate(scene)
print(f"动态范围: {result['dr_db']:.1f} dB")
for i, s in enumerate(scene):
print(f" 辐照度 {s:.2f}: 高增益={result['high_gain'][i]:.0f}, "
f"溢出={result['overflow'][i]:.0f}, HDR={result['hdr_image'][i]:.0f}")
|