1 Resolution Enhancement of Video Sequences with Simultaneous Estimation of the Regularization Parameter Hu He, Lisimachos P. Kondi Dept. of Electrical Engineering, SUNY at Buffalo, Buffalo, NY 14260 ABSTRACT In this paper, we propose a technique for the estimation of the regularization parameter for image resolution enhancement (super-resolution) based on the assumptions that it should be a function of the regularized noise power of the data and that its choice should yield a convex functional whose minimization would give the desired high-resolution image. The regularization parameter acts adaptively to determine the trade- off between fidelity to the received data and prior information about the image. Experimental results are presented and conclusions are drawn. Keywords: Resolution enhancement, super-resolution, MAP estimation, image restoration, regularization 1. INTRODUCTION In many imaging systems, the resolution of the detector array of the camera is not sufficiently high for a particular application. Furthermore, the capturing process introduces additive noise and the point spread function of the lens and the effects of the finite size of the photo-detectors further degrade the acquired video frames. The goal of resolution enhancement is to estimate a high-resolution image from a sequence of low-resolution images while also compensating for the above-mentioned degradations. Resolution enhancement using multiple frames is possible when there exists subpixel motion between the captured frames. Thus, each of the frames provides a unique look into the scene. An example scenario is the case of a camera that is mounted on an aircraft and is imaging objects in the far field. The vibrations of the aircraft will generally provide the necessary motion between the focal plane array and the scene, thus yielding frames with subpixel motion between them and minimal occlusion effects.