Sensing increased image resolution using aperture masks

We present a technique to construct increased-resolution images from multiple photos taken without moving the camera or the sensor. Like other super-resolution techniques, we capture and merge multiple images, but instead of moving the camera sensor by sub-pixel distances for each image, we change masks in the lens aperture and slightly defocus the lens. The resulting capture system is simpler, and tolerates modest mask registration errors well. We present a theoretical analysis of the camera and image merging method, show both simulated results and actual results from a crudely modified consumer camera, and compare its results to robust `blind' methods that rely on uncontrolled camera displacements.

• Type: Conference
• Year: 2008
• Where: CVPR
• Authors: Ankit Mohan, Xiang Huang, Jack Tumblin, Ramesh Raskar
• Keywords: Camera Sensor, Computer Vision, Consumer Camera, CVPR 2008, Image Merging Method, Modest Mask Registration, Uncontrolled Camera Displacements