Image Brightness Adjustment via Adaptive Signal-to-Noise Compensation

Solution Overview

Problem

The existing multi-region backlight control methods for image brightness adjustment, such as Local Dimming, often increase noise in dark image parts, leading to poor visual quality due to improper data compensation.

Innovation Solution

An image brightness adjustment method that involves noise reduction processing, calculating a signal-to-noise ratio, and adjusting the compensation intensity coefficient to adaptively control data compensation, thereby reducing noise in dark areas and enhancing the visibility of image details.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If Local Dimming technology reduces backlight brightness in dark screen areas, then energy consumption is reduced and contrast is improved, but the subjective screen becomes darker and visibility of dark parts deteriorates

Engineering Contradiction:

Improvebacklight energy consumptionVSAvoiddark part visibility

Core Design Contradiction:

Loss of energyVSIllumination intensity

Solution Approach 1:

The patent performs noise reduction processing on the image signal before Local Dimming data compensation. By preprocessing the image to reduce noise, the subsequent brightness adjustment can more effectively enhance dark part visibility without requiring excessive compensation that would waste energy. The noise reduction is performed in advance to prepare the image for optimal Local Dimming processing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent calculates the signal-to-noise ratio of the image signal and uses this feedback to dynamically adjust the compensation intensity coefficient. When the signal-to-noise ratio is low (indicating significant noise), the compensation intensity is reduced to avoid amplifying noise. When the signal-to-noise ratio is high, full compensation can be applied to maximize dark part visibility while maintaining energy efficiency.

Inventive Principle:

Principle #23Feedback

2Illumination intensity

If data compensation is applied to improve dark part visibility, then visibility of dark areas is enhanced, but noise in dark parts increases resulting in poor visual effect

Engineering Contradiction:

Improvedark part visibilityVSAvoidimage noise

Core Design Contradiction:

Illumination intensityVSObject-affected harmful factors

Solution Approach 1:

The patent performs noise reduction processing on the image signal before Local Dimming data compensation. By preprocessing the image to reduce noise, the subsequent brightness adjustment can more effectively enhance dark part visibility without requiring excessive compensation that would waste energy. The noise reduction is performed in advance to prepare the image for optimal Local Dimming processing.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent calculates the signal-to-noise ratio of the image signal and uses this feedback to dynamically adjust the compensation intensity coefficient. When the signal-to-noise ratio is low (indicating significant noise), the compensation intensity is reduced to avoid amplifying noise. When the signal-to-noise ratio is high, full compensation can be applied to maximize dark part visibility while maintaining energy efficiency.

Inventive Principle:

Principle #23Feedback

3Object-affected harmful factors

If noise reduction processing is performed on the image signal, then noise in dark areas is reduced, but processing time and computational complexity increase

Engineering Contradiction:

Improveimage noiseVSAvoidprocessing time

Core Design Contradiction:

Object-affected harmful factorsVSLoss of time

Solution Approach 1:

The patent performs noise reduction processing specifically on the image signal before Local Dimming compensation, focusing computational resources on preparing the image data. This localized preprocessing approach reduces noise in critical areas without unnecessarily processing the entire image pipeline, thereby minimizing additional processing time while achieving the desired noise reduction effect in dark areas.

Inventive Principle:

Principle #3Local quality

Data Source

PatentEP3731221B1Image brightness adjustment method, device and system, and computer-readable storage medium

Publication Date: 2024.01.24 SHENZHEN SKYWORTH RGB ELECTRONICS CO LTD

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AI summary

Disclosed are an image brightness adjustment method, an image brightness adjustment device, an image brightness adjustment system and a computer-readable storage medium. The method includes the steps of: subsequent to receiving an image signal to be displayed, performing noise reduction processing on the image signal to be displayed, and obtaining the image signal to be displayed after noise reduction; comparing the image signal to be displayed before noise reduction with the image signal to be displayed after noise reduction, and obtaining a signal-to-noise ratio; calculating a compensation intensity coefficient according to the signal-to-noise ratio, and determining an attribute value of each region of an image to be displayed; and adjusting a brightness of the image to be displayed according to the compensation intensity coefficient and the attribute value. In the present application, in the process of Local Dimming data compensation, the intensity of data compensation is adaptively adjusted through the signal-to-noise ratio, data compensation for the image with large noise is reduced, which avoids increasing noise in dark parts of the image; large data compensation is adopted for the image with small noise, which makes the details of the dark part of the image visible, so as to improve the quality of the image displayed on the television.