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微光电视工作于极低照度或恶劣环境下，输出信噪比明显降低，目标完全淹没在背景噪声中，使探测率大大下降。提出了用帧间处理技术消除加性噪声。论述了字长和滤波系数的选择原则。研究了实时去噪的几项关键技术、算法和符号位的设计，各部分工作时间分配以及大背景噪声下时钟同步方法。给出了信噪比改善度的理论计算公式，对所建立的系统进行了实测，字长由原来的１０位减少到８位，信噪比改善仍有１２ｄＢ。不使用专用器件，整机硬件量减少到原来的２／５。使用该技术，可显著提高微光成象和红外热成象装置探测目标的能力。
Glimmer TV work in very low illumination or harsh environment, the output signal to noise ratio decreased significantly, the target completely submerged in the background noise, the detection rate dropped significantly. Proposed to use inter-frame processing to eliminate additive noise. Discusses the principle of choosing word length and filter coefficient. The key techniques of real-time denoising, the design of algorithm and sign bit, the working time distribution of each part and the clock synchronization method under large background noise are studied. The theoretical calculation formula of signal to noise ratio (SNR) improvement is given. The system is tested. The word length is reduced from 10 bits to 8 bits, and the SNR is still improved by 12dB. Do not use special devices, the whole hardware to reduce the original 2/5. The use of this technology can significantly improve the ability of low-light imaging and infrared thermal imaging devices to detect targets.