Image Enhancement Using Self-Examples and External Examples

Patent №

US 9,569,684

Granted

2017-02-14

Filed 2013

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14020969

Systems and methods are provided for image enhancement using self-examples in combination with external examples. In one embodiment, an image manipulation application receives an input image patch of an input image. The image manipulation application determines a first weight for an enhancement operation using self-examples and a second weight for an enhancement operation using external examples. The image manipulation application generates a first interim output image patch by applying the enhancement operation using self-examples to the input image patch and a second interim output image patch by applying the enhancement operation using external examples to the input image patch. The image manipulation application generates an output image patch by combining the first and second interim output image patches as modified using the first and second weights.

Machine learningVisionAI hardwareG06V 10/7753G06F 18/2155G06T 3/4053G06T 3/4076G06T 5/50G06T 5/70G06T 5/73G06T 2207/10024+2 more

AI classification

Vision1.00
AI hardware1.00
Machine learning0.99
Planning0.10
Natural language0.01
Evolutionary computation0.00
Knowledge representation0.00
Speech0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 311610718

Assignors

YANG, JIANCHAO, LIN, ZHE

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

From the same owner

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