Graphics Components White Papers
Example-Based Super-Resolution
Overview Image-based models for computer graphics lack resolution independence: they cannot be zoomed much beyond the pixel resolution they were sampled at without a degradation of quality. Interpolating images usually results in a blurring of edges and image details. We describe image interpolation algorithms which use a database of training images to create plausible high-frequency details in zoomed images. Image pre-processing steps allow the use of image detail from regions of the training images which may look quite different from the image to be processed. These methods preserve fine details, such as edges, generate believable textures, and can give good results even after zooming multiple octaves.
| Publisher | Mitsubishi Electric Research Laboratories (MERL) | File Format | PDF, requires Acrobat Rdr 5 |
|---|---|---|---|
| Date Published | August 2001 | Downloads | 37 |
| Format | White Papers | ||
| Topics | |||
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