Multi-Exposure Image Fusion for Rapid Light Color Changes
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Solution Overview
Problem
Existing image fusion methods fail to effectively address color distortion in images captured in scenes where the light source changes rapidly, leading to poor image quality and user experience.
Innovation Solution
An image processing method that selects and fuses frames of images based on color consistency, using exposure values and preset conditions to generate target images, followed by front-end and backend processing to improve image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple frames of images are fused to improve image quality, then image quality is improved, but color distortion occurs in scenes with rapidly changing light sources
Solution Approach 1:
The patent compares the colors of multiple exposure images before fusion to detect color changes caused by rapidly varying light sources. By performing this color comparison in advance, the system identifies frames with color distortion and excludes them from fusion, thereby preventing color distortion in the final image while maintaining the quality improvement benefits of multi-frame fusion.
2Illumination intensity
If exposure value is increased to capture more light, then image brightness is improved, but color accuracy deteriorates in scenes with changing light sources
Solution Approach 1:
The patent applies different processing strategies to different exposure images based on their color consistency with the reference frame. Frames that exhibit color distortion due to varying light sources are identified and excluded from fusion, while frames with consistent colors are selected for fusion. This selective approach ensures that the final image maintains both adequate brightness and color accuracy.
3Loss of information
If all captured frames are used for fusion to maximize information utilization, then image detail is improved, but processing complexity increases
Solution Approach 1:
The patent extracts and compares color information from multiple exposure images to identify frames with color distortion. By removing frames that do not meet color consistency criteria before fusion, the system reduces the number of frames requiring detailed processing while preserving the most reliable image data. This extraction approach balances information utilization with processing efficiency.
Data Source
AI summary
This application relates to the field of image processing, and provides an image processing method and a related device thereof. The method includes: detecting a first operation; turning on a camera in response to the first operation; determining that a first preset condition is met, and capturing M frames of images; determining that a first exposure image and a third exposure image meet a second preset condition, and that a second exposure image and the third exposure image meet the second preset condition; fusing the first exposure image, the second exposure image, and the third exposure image to obtain a first target image; and storing the first target image. The image processing method provided in this application can effectively improve quality of an image obtained by fusing a plurality of frames of images captured in a scene in which a color of a light source changes.