System and methods for low-light image enhancement utilizing denoising preprocessing with wavelet decomposition

A method for image enhancement, comprising steps of:

• generating a plurality of subimages from an input image;
• applying a frequency domain transformation to each subimage to produce frequency domain subimages;
• processing each of the frequency domain subimages using corresponding machine learning models;
• combining outputs from the machine learning models using an inverse frequency domain transformation;
• and
• providing the combined output to an image signal processing pipeline.

A non-transitory computer program product for an electronic computation device comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the electronic computation device to:

• generate a plurality of subimages from an input image;
• apply a frequency domain transformation to each subimage to produce frequency domain subimages;
• process each of the frequency domain subimages using corresponding machine learning models;
• combine outputs from the machine learning models using an inverse frequency domain transformation;
• and
• provide the combined output to an image signal processing pipeline.