METHOD AND DEVICE FOR GENERATING A SUPER-RESOLUTION VERSION OF A LOW RESOLUTION INPUT DATA STRUCTURE

Patent №

US 9,105,086

Granted

2015-08-11

Filed 2013

Owner

THOMSON LICENSING

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13889460

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.

VisionG06T 5/73G06T 3/4053

AI classification

Vision1.00
AI hardware0.01
Machine learning0.01
Planning0.00
Natural language0.00
Speech0.00
Knowledge representation0.00
Evolutionary computation0.00

Ownership

THOMSON LICENSING

assignment · 313110126

Assignors

SALVADOR, JORDI, KOCHALE, AXEL, BORSUM, MALTE

On an employer assignment, the assignors are typically the inventors.

From the same owner

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