Noise level is one of the key indicators of image quality. Image and video captured under low light condition suffers significant quality degradation due to noise. Noise intrinsically exists in every stage of the image pipeline from capture to storage, especially each phase of the image capture process. Noisy video has been a big challenge for compression and transmission over network. Improving signal to noise ratio and preserving signal integrity under low light condition have significant value for applications that routinely operate under dark condition without effective accessory lighting, operations that need to run under dark in covert mode, operations that prefer passive monitoring for a variety of reasons such as product life time, reliability and energy savings.