Image Fusion Method for Clear Dynamic Objects and Static Scenes

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing image processing methods struggle to clearly capture dynamic objects and static scenes simultaneously, often resulting in blur, afterimages, or reduced image quality due to noise and high-speed object movement.

Innovation Solution

A method of image fusion that uses an image sensor to judge whether pixels are dynamic or static based on light intensity differences between frames, keeping the trajectory of dynamic objects while suppressing background noise to present a clear, single-frame image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If single-frame long-exposure imaging is used, then clear static scenes are captured, but high-speed moving objects produce blur and afterimages

Engineering Contradiction:

Improveimage clarityVSAvoidblur and afterimages of moving objects

Core Design Contradiction:

Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The patent divides the image into static and dynamic regions by comparing pixel brightness changes between frames. Static pixels are inherited from previous frames while dynamic pixels are refreshed from current frames, allowing each region to be processed according to its motion characteristics

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent dynamically adjusts the processing method for each pixel based on its motion state. The system calculates brightness differences between frames and uses threshold judgment to determine whether to inherit or refresh each pixel, creating an adaptive imaging method that responds to real-time scene changes

Inventive Principle:

Principle #15Dynamics

2Speed

If multi-frame short-exposure imaging is used, then trajectory of high-speed moving objects is retained, but flicker noise from CMOS sensor reduces output image quality

Engineering Contradiction:

Improveresponse speedVSAvoidimage quality

Core Design Contradiction:

SpeedVSManufacturing precision

Solution Approach 1:

The patent merges the advantages of long-exposure imaging (clear static scenes) and short-exposure imaging (sharp dynamic objects) by combining multiple frames through a fusion algorithm that selectively inherits or refreshes pixels based on motion detection

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent converts the harmful flicker noise from short-exposure imaging into a useful signal by using the brightness changes between frames to identify dynamic objects, thereby transforming the noise problem into a motion detection advantage

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

3Productivity

If traditional DVS event-based imaging is used, then high frame rate (2000 fps) is achieved, but complete static image information is not recorded and additional color sensor increases system complexity

Engineering Contradiction:

Improveframe rateVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent makes the single image sensor perform multiple functions: it captures both static and dynamic information by processing brightness changes between frames, eliminating the need for separate color sensors and complex event-based processing circuits

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12267598B2Method of image fusion

Publication Date: 2025.04.01 GUANGZHOU TYRAFOS SEMICON TECH CO LTD

AI summary

The present invention relates to a method of image fusion, which uses the brightness difference of the current frame and the previous frame to determine whether the pixel in a frame image is static or dynamic. If the current pixel is static, the previous corresponding pixel is superimposed onto the current pixel; if the current pixel is dynamic, the previous corresponding pixel is replaced with the current pixel.