Motion-Adaptive Display Gain Control for Contour Noise Removal

Solution Overview

Problem

Existing display devices suffer from side effects such as blurring and smudging when removing contour noise, particularly in areas with motion, due to uniform application of noise reduction techniques that do not consider detail and motion information.

Innovation Solution

A display device that applies different gain values to motion and non-motion areas based on detected motion information, using tables to map gain values to motion and detail levels, and excludes certain areas like high luminance and skin areas from noise reduction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If consistent intensity is used to remove contour noise from the entire image, then contour noise is removed from all areas, but blurring and halos occur in motion areas

Engineering Contradiction:

Improvecontour noiseVSAvoidimage sharpness

Core Design Contradiction:

Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The patent applies different gain values to different regions of the image based on motion information. Specifically, it identifies motion areas and non-motion areas separately, and applies a first gain value to motion areas and a second gain value to non-motion areas, where the first gain value is less than or equal to the second gain value. This local differentiation resolves the contradiction by removing contour noise effectively in non-motion areas while preserving sharpness in motion areas.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments the image into motion areas and non-motion areas based on motion information obtained from video data. By dividing the image processing into distinct regions with different characteristics, it enables selective application of noise reduction intensity, thereby avoiding the blurring effect that occurs when uniform processing is applied to the entire image.

Inventive Principle:

Principle #1Segmentation

2Ease of operation

If the same gain value is applied to both motion and non-motion areas, then processing is simple, but image quality deteriorates in motion areas

Engineering Contradiction:

Improveprocessing simplicityVSAvoidimage quality

Core Design Contradiction:

Ease of operationVSManufacturing precision

Solution Approach 1:

The patent introduces dynamic adjustment of gain values based on motion information. Rather than using a fixed gain value for the entire image, the system dynamically determines different gain values for motion and non-motion areas according to the actual motion characteristics in the video data, thereby maintaining image quality while adapting to different scene conditions.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies different gain values to different regions of the image based on motion information. Specifically, it identifies motion areas and non-motion areas separately, and applies a first gain value to motion areas and a second gain value to non-motion areas, where the first gain value is less than or equal to the second gain value. This local differentiation resolves the contradiction by removing contour noise effectively in non-motion areas while preserving sharpness in motion areas.

Inventive Principle:

Principle #3Local quality

3Object-affected harmful factors

If contour noise removal is applied to the entire image, then all areas benefit from noise reduction, but detail information is lost in motion areas

Engineering Contradiction:

Improvecontour noiseVSAvoiddetail information

Core Design Contradiction:

Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The patent applies different gain values to different regions of the image based on motion information. Specifically, it identifies motion areas and non-motion areas separately, and applies a first gain value to motion areas and a second gain value to non-motion areas, where the first gain value is less than or equal to the second gain value. This local differentiation resolves the contradiction by removing contour noise effectively in non-motion areas while preserving sharpness in motion areas.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent segments the image into motion areas and non-motion areas based on motion information obtained from video data. By dividing the image processing into distinct regions with different characteristics, it enables selective application of noise reduction intensity, thereby avoiding the blurring effect that occurs when uniform processing is applied to the entire image.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250358381A1Display device and operating method therefor

Publication Date: 2025.11.20 LG ELECTRONICS INC

AI summary

A display device according to an embodiment of the present disclosure comprises: a controller for acquiring motion information from video data, and generating result video data on the basis of a gain value corresponding to the motion information; and a display for outputting an image on the basis of the result video data, wherein the controller can acquire the result video data by applying different gain values to a motion region and a remaining region that excludes the motion region, if the area of the motion region is sensed, on the basis the motion information, as having a predetermined proportion or less to the total image area.