Metadata Generation for Color Gamut Matching in Image Display

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Display devices face challenges in accurately reproducing colors when the color gamut of an input image differs from the display device's capabilities, leading to suboptimal color reproduction characteristics.

Innovation Solution

A method and device that generate metadata to correct and display images by matching the color gamut of the input image with the display device's capabilities, involving white point conversion, color gamut mapping, tone mapping, and saturation value adjustments based on correspondence relations between the two images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If color gamut conversion is performed to match display device capabilities, then color reproduction characteristic is improved, but image quality and color accuracy may deteriorate due to aggressive correction

Engineering Contradiction:

Improvecolor reproduction characteristicVSAvoidimage quality and color accuracy

Core Design Contradiction:

ReliabilityVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by adjusting the degree of color gamut correction through multiple correction amounts (first correction amount for narrow gamut images, second correction amount for wide gamut images). The system dynamically selects appropriate correction parameters based on image characteristics and display device capabilities, enabling precise control over color transformation to balance reproduction accuracy with image quality preservation

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements partial action by applying different correction intensities to different image types. Instead of uniform aggressive correction, the system applies moderate correction to narrow gamut images and minimal or no correction to wide gamut images, thereby avoiding over-correction and maintaining natural image quality while still improving color reproduction within the display device's capabilities

Inventive Principle:

Principle #16Partial or excessive action

2Reliability

If aggressive color gamut correction is applied, then color reproduction is improved, but visual quality and natural appearance deteriorate

Engineering Contradiction:

Improvecolor reproductionVSAvoidvisual quality and natural appearance

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies partial action by implementing selective correction based on image gamut characteristics. The system determines whether an image is narrow or wide gamut and applies corresponding correction amounts accordingly, avoiding excessive correction that would degrade visual quality while still achieving adequate color reproduction improvement

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent implements dynamics by making the correction amount adaptive rather than fixed. The system dynamically adjusts correction intensity based on real-time analysis of image characteristics and display device properties, allowing the correction process to respond to varying conditions and maintain natural appearance across different scenarios

Inventive Principle:

Principle #15Dynamics

3Manufacturing precision

If color gamut matching is performed, then color accuracy is improved, but processing time and computational complexity increase

Engineering Contradiction:

Improvecolor accuracyVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-determining correction amounts for different image types (narrow gamut vs. wide gamut) and storing them as lookup tables or lookup curves. During actual processing, the system only needs to retrieve the appropriate pre-computed correction data based on image classification, significantly reducing real-time computational complexity while maintaining high color accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements segmentation by dividing the correction process into distinct stages: image gamut classification, selection of appropriate correction amount, and application of correction. This segmented approach simplifies the overall processing flow and reduces computational burden compared to performing complex correction calculations on all images uniformly

Inventive Principle:

Principle #1Segmentation

4Reliability

If correction is applied to narrow gamut images, then color reproduction is improved, but saturation and brightness may be distorted

Engineering Contradiction:

Improvecolor reproductionVSAvoidsaturation and brightness accuracy

Core Design Contradiction:

ReliabilityVSManufacturing precision

Solution Approach 1:

The patent applies parameter changes by using multiple correction amounts (first correction amount for saturation, second correction amount for brightness) that can be independently adjusted. This allows the system to optimize color reproduction while preserving natural saturation and brightness characteristics by tuning each parameter separately rather than applying uniform correction

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10277783B2Method and device for image display based on metadata, and recording medium therefor

Publication Date: 2019.04.30 SAMSUNG ELECTRONICS CO LTD

AI summary

A method of generating metadata includes: obtaining a first image and a second image respectively having different color gamuts; obtaining at least one of information regarding a white point and information regarding the color gamut of the second image; correcting the first image based on the obtained information; and generating the metadata based on a correspondence relation between color information of the corrected first image and color information of the second image.