Electronic Device Image Quality Control via Pixel Change Detection

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Solution Overview

Problem

Existing image processing methods fail to optimize image quality based on specific image characteristics, such as distinguishing between still and moving images, leading to suboptimal display quality, especially in scenarios like screen mirroring where frame size and scene changes are frequent.

Innovation Solution

An electronic device with interface circuitry and a processor that analyzes pixel changes between frames to identify predefined characteristics, classifying images as still or moving and adjusting image quality modes accordingly, using thresholds for pixel change area and feature point ratios to determine scene changes and motion information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If image processing is performed using a fixed method regardless of image characteristics, then the processing complexity is low, but the image quality is suboptimal

Engineering Contradiction:
Improveimage qualityVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements dynamic image processing by switching between still image processing mode and moving image processing mode based on detected image characteristics. The processor dynamically adjusts processing parameters including pixel change thresholds and processing algorithms according to whether the image is identified as still or moving, thereby optimizing image quality for different content types while managing processing complexity through adaptive mode selection.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If pixel change detection is performed on all frames, then the recognition accuracy of image characteristics is high, but the CPU load increases

Engineering Contradiction:
Improverecognition accuracyVSAvoidCPU load
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies partial action by performing detailed pixel change detection and characteristic recognition only on selected frames rather than all frames. The processor identifies frames where pixel changes exceed a threshold and performs comprehensive analysis only on those frames, while skipping or using simplified processing on frames with minimal changes, thereby reducing overall CPU load while maintaining sufficient recognition accuracy for image characteristic identification.

Inventive Principle:
Principle #16Partial or excessive action

3Difficulty of detecting and measuring

If the threshold for pixel change is set low, then the detection sensitivity is high, but the false recognition rate increases

Engineering Contradiction:
Improvedetection sensitivityVSAvoidfalse recognition rate
Core Design Contradiction:
Difficulty of detecting and measuringVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where the processor continuously monitors pixel change amounts and adjusts processing decisions based on detected patterns. By analyzing the magnitude and persistence of pixel changes across multiple frames, the system provides feedback to refine the distinction between still and moving images, reducing false recognition while maintaining detection sensitivity through adaptive threshold adjustment based on observed image characteristics.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11881134B2Electronic device and method for controlling the same, and storage medium
Publication Date: 2024.01.23 SAMSUNG ELECTRONICS CO LTD
  • US11881134B2 patent drawing
  • US11881134B2 patent drawing
  • US11881134B2 patent drawing

AI summary

Disclosed is an electronic device providing optimal image quality according to an image characteristic. The electronic device includes: interface circuitry and a processor configured to correct an image based on a plurality of frames acquired from a signal received through the interface circuitry based on whether the image has a predefined characteristic, wherein the processor is further configured to perform recognition of the predefined characteristic based on a frame in which a pixel change between two consecutive frames among the plurality of frames is greater than or equal to a threshold.