Adaptive Filter for Image Flickering via Percentile Control

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Solution Overview

Problem

Frame based processing in display imaging often results in flickering issues due to high frame changes in scenes or at scene boundaries, caused by frame feature delays.

Innovation Solution

An adaptive filter is applied in a conversion function to provide temporal smoothness for image output, utilizing indirect input including percentiles to control filter coefficients and synchronize smoothing across frames.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If frame based processing is used for image conversion, then processing efficiency is improved, but flickering issues occur due to high frame changes and frame feature delays

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidimage stability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent applies dynamic filtering where the filter strength and type are adjusted based on detected frame changes and scene boundaries. The system dynamically switches between different filtering modes (spatial filtering, temporal filtering, or no filtering) depending on the detected image characteristics, allowing efficient processing while maintaining stability when needed

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes processing parameters based on frame analysis results. When high frame changes or scene boundaries are detected, the patent modifies conversion function parameters and applies adaptive filtering with adjusted coefficients, thereby maintaining processing efficiency while reducing flickering through parameter adaptation

Inventive Principle:

Principle #35Parameter changes

2Reliability

If adaptive filtering is applied to reduce flickering, then image stability is improved, but processing complexity increases

Engineering Contradiction:

Improveimage stabilityVSAvoidprocessing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the image processing into distinct stages: frame change detection, scene boundary detection, filter type selection, and coefficient adjustment. Each stage handles a specific aspect of the problem, making the overall complex adaptive filtering process more manageable and efficient through modular organization

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies different filtering strategies to different regions or aspects of the image processing based on local characteristics. Spatial filtering is applied in certain contexts while temporal filtering is used in others, depending on the specific frame change patterns and scene boundary conditions detected in each region

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250173828A1Indirective temporal filtering for adaptive joined parameter smoothing

Publication Date: 2025.05.29 SAMSUNG ELECTRONICS CO LTD

AI summary

One embodiment provides a computer-implemented method that includes applying an adaptive filter in a conversion function that provides temporal smoothness for image output. Indirect input including percentiles are utilized to control one or more filter coefficients of the adaptive filter. Based on the percentiles at different percentages, at least two of the one or more filter coefficients are controlled together to synchronize smoothing for the image output.