Design and implementation of a scanner with stitching of multiple image capture

Abstract

Instead of the flatbed scanner which moves slowly as it scans, we propose in this paper a new design of a high-speed and low-power scanner with a stitching of multiple image capture. We divide the area to be scanned into four parts, capture each image and then stitch these into a whole. Our design uses the compact camera module (CCM) advantages of high integrity, white balance, advanced calibration, and auto exposure for color and luminance, all of which reduce the software post-processing time. To solve the light reflection problem we propose an interleaved light source compensation method. To reduce power consumption and prevent light reflection among the four scan areas, we scan the four images one by one, during which a single CCM is turned on while the others are turned off. We use field of view (FOV) calculation to obtain the overlap area used by the stitching algorithms.