Noise estimation using user-configurable information

A system, comprising:

• an image capture device configured to capture raw pixel data of multiple images of a scene;
• and
• an image processor coupled to the image capture device, the image processor comprising:
• noise filter logic configured to generate a signal to noise ratio value using a fixed-bit size raw pixel data and a user-defined noise-intensity function, the fixed-bit size raw pixel data comprising merged raw pixel data of the multiple images,
• wherein the noise filter logic comprises suppression logic that is configured to estimate noise in the multiple images using the signal to noise ratio value.

An image processing system, comprising:

• an image capture device configured to capture multiple images of raw pixel data of a scene;
• and
• an image processor coupled to the image capture device, comprising:
• first averaging logic configured to generate correlated local intensity of the multiple images based on a user-programmed correlation information of a color filter array employed in the image capture device;
• noise calculation logic configured to generate a noise threshold value based on the correlated local intensity and a user-defined first approximation logic;
• and
• sub-band suppression logic configured to estimate noise in the multiple images using the noise threshold value.