Dynamic reconstruction of high resolution video from low-resolution color-filtered video (video-to-video super-resolution)
Abstract
In one aspect, the present invention provides a dynamic super-resolution technique that is computationally efficient. A recursive computation takes as input a previously computed super-resolved image derived from a sequence of low-resolution input frames. Combining this super-resolved image with a later low-resolution input frame in the sequence, the technique produces a new super-resolved image. By recursive application, a sequence of super-resolved images is produced. In a preferred embodiment, the technique uses a computationally simple and effective method based on adaptive filtering for computing a high resolution image and updating this high resolution image over time to produce an enhanced sequence of images. The method may be implemented as a general super-resolution software tool capable of handing a wide variety of input image data.
Claims
exact text as granted — not AI-modified1 . A computer-implemented method for dynamic super-resolution, the method comprising: computing an initial super-resolved image from at least one low-resolution image; and computing a next super-resolved image in a super-resolved image sequence from information in a previous super-resolved image in the super-resolved image sequence and a next low-resolution image in a low-resolution image sequence.
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