Noise reduction circuit with demosaic processing

A method, comprising:

• generating a de-mosaiced version of an image;
• generating, using the de-mosaiced version of the image, a denoising kernel for at least one pixel of the image and a bilateral kernel for the at least one pixel of the image;
• performing noise filtering of the image using the denoising kernel to generate a first de-noised version of the image;
• performing noise filtering of the image using the bilateral kernel to generate a second de-noised version of the image;
• and
• blending the first de-noised version with the second de-noised version to generate an output de-noised version of the image.

An electronic device, comprising:

• an image signal processor to perform noise reduction on an image, the image signal processor including:
• a machine learning-based noise reduction (MLNR) circuit, the MLNR circuit comprising:
• a pre-demosaic circuit to generate a de-mosaiced version of the image;
• a kernel calculation circuit coupled to the pre-demosaic circuit and to generate, using the de-mosaiced version of the image, a denoising kernel for at least one pixel of an image and a bilateral kernel for the at least one pixel of the image,
• a noise filtering circuit coupled to the kernel calculation circuit, the noise filtering circuit to:
• perform noise filtering of the image using the denoising kernel to generate a first de-noised version of the image, and
• perform noise filtering of the image using the bilateral kernel to generate a second de-noised version of the image, and
• a blending circuit coupled to the kernel calculation circuit and the noise filtering circuit, the blending circuit to blend the first de-noised version with the second de-noised version to generate an output de-noised version of the image.