In a low light level wavefront sensor with image intensifier, the random noise of CCD output image is inhibited by delay correlation algorithm.
在带像增强器的微光波前传感器中，采用延时相关算法抑制CCD输出图像的随机噪声。
The characteristics of low light level (LLL) image were analyzed in aspects of imaging process gray level distribution and correlativity of picture element in space and time of LLL image.
从微光图像的成像过程、灰度分布和像素空间与时间相关性等几个方面对微光图像特征作较系统的分析。
In low light level television system, this method can be used directly and the quality of the image can be improved greatly.
该方法可直接应用于微光电视系统，能够显著地提高微光图像质量。
In the end the thesis analyzes the noise model of the image in low-light-level environment and experiment with some typical image processing algorithm on the DSP.
最后深入的对微光图像的噪声进行有效分析，对图像处理算法设计在高速图像处理器上的软件实现，做了相关的实验研究。
A novel real time adaptive image accumulating technique for low light level (LLL) image enhancement is advanced in this paper.
本文研究了基于灰度变换的自适应实时图像帧积分技术及其在微光电视系统中的应用。
A novel real time adaptive image accumulating technique for low light level (LLL) image enhancement is advanced in this paper.
本文研究了基于灰度变换的自适应实时图像帧积分技术及其在微光电视系统中的应用。
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