Ghost Reflection Compensation Model for ToF Image Quality
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Solution Overview
Problem
Current image processing technologies fail to effectively suppress ghost reflections in images captured by image pick-up devices, leading to poor image quality and inaccurate object recognition, particularly in scenarios involving ToF sensors.
Innovation Solution
A ghost reflection compensation model is used to weight and combine images to eliminate ghost reflections by modeling the intensity distribution of light reflection in the image pick-up device, utilizing parameters such as center shift, size, and intensity factors to align and suppress ghost reflections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current image processing technologies are used, then image processing can be performed, but ghost reflections cannot be effectively suppressed leading to poor image quality
Solution Approach 1:
The patent converts the harmful ghost reflection into a useful component by extracting the ghost component from the original image and then subtracting it. The ghost reflection, which was previously a harmful artifact, is isolated and then removed through mathematical operations, transforming the harmful effect into a controllable and eliminable element.
Solution Approach 2:
The patent segments the original image into two distinct components: a ghost-free component and a ghost reflection component. By decomposing the image data and separating these elements, the system can independently process and remove the ghost reflection while preserving the genuine image information.
2Measurement precision
If image processing is performed without ghost reflection compensation, then processing speed is maintained, but object recognition accuracy deteriorates due to noise
Solution Approach 1:
The patent converts the harmful noise caused by ghost reflection into a separable component. By modeling the ghost reflection characteristics and extracting this component, the noise is transformed into an identifiable element that can be systematically removed, thereby improving object recognition accuracy without sacrificing processing efficiency.
Solution Approach 2:
The patent introduces an intermediary ghost component as a mediator between the original image and the final processed image. This intermediate representation allows for precise control over noise removal, enabling the system to eliminate ghost reflection noise while preserving genuine image features through controlled mathematical operations.
3Reliability
If a ghost reflection compensation model is applied, then image quality improves, but processing complexity increases
Solution Approach 1:
The patent extracts the ghost reflection compensation functionality as a separate, modular component. By isolating the ghost removal operations into distinct extraction and subtraction steps, the system manages processing complexity through structured decomposition, making the complex task of ghost reflection removal more manageable and efficient.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The model effectively removes ghost reflections, improving image quality and ensuring accurate depth information and object recognition by aligning ghost reflections with their source objects, thereby enhancing the reliability of image processing.
Implementation Method 1
the ghost reflection compensation model is related to intensity distribution of the ghost reflection in the image caused by light reflection in the image pick-up device during capturing
Data Source
AI summary
An electronic device for compensating for ghost reflection in an image captured by an image pick-up device, includes a processing circuit configured to weight an image to be compensated containing the ghost reflection by using a ghost reflection compensation model, wherein the ghost reflection compensation model is related to intensity distribution of the ghost reflection in the image caused by light reflection in the image pick-up device during capturing; and combine the to-be-compensated image and the weighted image to eliminate the ghost reflection from the image.