Image Processing Apparatus for Wide-Angle Lens Distortion Correction
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Solution Overview
Problem
Current obstacle detection systems, especially those using wide-angle lenses like fisheye cameras, face challenges in correcting optical distortion, which can lead to reduced image recognition accuracy and visibility issues when displaying images with a wide viewing range, making it difficult to achieve both high detection rates and clear visibility.
Innovation Solution
An image processing apparatus with multiple controllers that perform specific image processing and correction tasks, including first and second image processing, and first and second correction processing, to address optical distortion and enhance image recognition and display quality, allowing for parallel or sequential processing to optimize performance and cost-effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical distortion correction is applied to images captured by wide-angle lenses, then image recognition accuracy is improved, but image visibility and display quality deteriorate
Solution Approach 1:
The patent divides the image processing into two separate processing paths: one path applies distortion correction for recognition processing, while the other path maintains original image quality for display. This segmentation allows each path to be optimized independently, resolving the contradiction between recognition accuracy and display quality.
Solution Approach 2:
The patent applies different processing qualities to different purposes: high-level distortion correction is applied locally to the recognition processing path, while the display path maintains original image quality. This local quality differentiation ensures that each path receives the appropriate processing level for its specific function.
2Measurement precision
If multiple types of image processing and correction processing are performed, then image recognition accuracy and display quality are improved, but system complexity increases
Solution Approach 1:
The patent segments the processing system into multiple independent processing paths (first image processing path, second image processing path, first correction processing, second correction processing). Each path can be independently configured and optimized, which manages system complexity through modular organization while enabling multiple processing types to be applied simultaneously.
Solution Approach 2:
The patent creates a universal processing framework where the same basic processing components (image processing unit, correction processing unit) can serve multiple functions by applying different processing types. This multi-functionality reduces overall system complexity by reusing components across different processing paths rather than creating dedicated hardware for each function.
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 solution enables high detection rates in image recognition and displays images with excellent visibility, even with super-wide-angle optical systems, providing accurate and clear visual feedback for drivers, such as pedestrian detection and obstacle recognition.
Implementation Method 1
The image sensor is configured to photoelectrically convert an object image acquired via the imaging optical system and output an image signal
Data Source
AI summary
An image processing apparatus includes an input interface to acquire an image, and first to fourth controllers. The first controller performs image processing on the image. The second controller performs correction on an optical distortion in the image. The third controller performs recognition on the image. The fourth controller superimposes a result of the recognition onto the image and outputs a resulting image. The first controller can perform first and second image processing. The second controller can perform first and second correction processing. The third controller receives an input of the image, and outputs information indicating a location of a recognized object. The fourth controller receives an input of the image, and superimposes a drawing indicating the location of the recognized object onto a corresponding location in the image.