Noise reduction is a very important operation for image processing. All image capture devices capture image pixels and the noise at the same time and noise reduction is needed to retrieve high-quality image data. Noise reduction can be done in digital camera image pipeline by hardware, or it can be done in post processing by noise reduction tools. Generally the hardware approach is faster but post processing achieves better quality. Many noise reduction tools provide noise-profiling feature which measures the noise characteristic of image capture devices and uses the profiling result to reduce the noise more efficiently. Most of the tools are designed for end users to reduce noise of final image. This paper proposes using noise profiling as a calibration step in digital camera manufacturing and reducing noise in raw data color space. The benefit is faster and better noise reduction during image capture.