Imaging-Consistent Super-Resolution
Ming‐Chao Chiang, Terrance E. Boult · 1997
This paper introduces two algorithms for enhancing image resolution from an image sequence. The "image-based" approach presumes that the images were taken under the same illumination conditions and uses the intensity information provided by the image sequence to construct the high-resolution image. This ideal, however, is almost always not true when the illumination varies. The "edge-based" approach, based on edge models and a local blur estimate, circumvents these difficulties. The paper presents the theory and the experimental results using these two algorithms. 1 Introduction The idea of super-resolution, combining images by combining peices from an image sequence into a single image with higher resolution than any of the individual images, has been around for years. Previous research on super-resolution, [Huang and Tsai1984, Gross-1986, Peleg et al.-1987, Keren et al.- 1988, Irani and Peleg-1991, Irani and Peleg-1993, Bascle et al.-1996] , ignore the impact of image warping tech...