A method for image capture using artificial intelligence (AI) techniques to generate a user-personalized and noise-corrected final image from a captured image, that includes classifying a noise associated with a lens of an imaging device, preprocessing the captured image based on the classified noise to determine an initial region of interest (ROI), generating a first processed image by inputting the initial ROI and the captured image to a deep learning network, receiving a passive user input corresponding to a portion of a first preview of the first processed image, determining an additional ROI based on the passive user input and the classified noise, generating a second processed image by inputting the second ROI and the captured image to the deep learning network, and generating a user-personalization based noise-corrected final image based on the second processed image.