Iris recognition apparatus, iris recognition system, iris recognition method, and recording medium
US-2024420505-A1 · Dec 19, 2024 · US
US9105086B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9105086-B2 |
| Application number | US-201313889460-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 8, 2013 |
| Priority date | May 10, 2012 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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The invention relates to an improved robustness in upscaling the resolution of regularly sampled multi-dimensional signals, where a single low-resolution signal is available. These methods are referred to as example-based super-resolution or single-image super-resolution. A method for super-resolving a single image comprises three stages. First, an interpolation-based up-scaling of the input image is performed, followed by a Local De-noising step in contour regions. The second stage comprises extrapolation through cross-scale block matching, wherein an extrapolated high-frequency band is obtained that is de-noised through regularization in the same contour regions. The third stage comprises adding the contributions of the low-frequency band of the high-resolution image and the extrapolated high-frequency band.
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The invention claimed is: 1. A method for performing super-resolution processing of a low resolution input data structure of digital 1D, 2D or 3D data, comprising steps of detecting one or more regions in the low resolution input data structure where aliasing is likely to occur, and generating a de-noising mask that indicates the detected one or more regions in the low resolution input data structure; splitting the input data structure into a low-frequency input data structure a…
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