Digital reconstruction of degraded low resolution images
Hiep Quang Luong · Ghent University Academic Bibliography (Ghent University) · 2006
Many imaging applications nowadays rely on digital image interpolation because they require much higher spatial image resolution than the camera sensors can produce.In this paper we present a novel method for interpolating digital images.Unlike other conventional interpolation methods, the unknown pixel value is not estimated based on its local surrounding neighbourhood, but on the whole image.In particularly, we exploit the repetitive character of the image.A great advantage of our proposed approach is that we have more information at our disposal, which leads to a better reconstruction of the (hypothetical) desired image and its high frequencies.Results show the effectiveness of our proposed method and its superiority to other traditional interpolation methods, especially with real images where one has to deal with image corruption such as noise and compression artefacts.