Abstract: A method is for processing a Bayer domain signal of an image sensor to model an integrated noise in the image sensor. The method includes receiving the Bayer domain signal of the image signal, setting a plurality of noise models using the Bayer domain signal, and determining an integrated noise level in the image sensor based on the plurality of noise models. The noise models include a dark-current noise model, a shot noise model and a fixed-pattern noise model.

Abstract: A method is for processing a Bayer domain signal of an image sensor to model an integrated noise in the image sensor. The method includes receiving the Bayer domain signal of the image signal, setting a plurality of noise models using the Bayer domain signal, and determining an integrated noise level in the image sensor based on the plurality of noise models. The noise models include a dark-current noise model, a shot noise model and a fixed-pattern noise model.

Abstract: Example embodiments are directed to an apparatus and method for enhancing an image. The method may include extracting contrast data from color image data, generating low resolution image data and band pass image data from the contrast data using a Laplacian pyramid, generating global brightness enhanced image data from the low resolution image data to enhance an overall brightness, generating local contrast ratio enhanced image data from the band pass image data to enhance a local contrast, and/or generating enhanced contrast data from the global brightness enhanced image data and the local contrast ratio enhanced data. The apparatus may include circuitry for performing similar operations.