Rearview Image ROI Blurring for Faster Display Processing
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Solution Overview
Problem
Existing exterior rearview systems face challenges in efficiently processing and displaying image data, particularly due to increased processing time and computing requirements caused by overlaying additional information on images.
Innovation Solution
A method for displaying and processing images captured by an optical system simulating a rear-view system of a vehicle, involving calculating the size, position, and field of view of a region of interest (ROI), calculating a blur factor, manipulating the image gradient of the ROI pixel by pixel to reduce brightness or contrast, and displaying the processed image on a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If additional information is overlaid on the captured image to alert the driver, then the information completeness is improved, but the processing time and computing requirements increase
Solution Approach 1:
The patent extracts only the essential safety-critical information from the captured image and overlays it selectively, rather than processing and displaying all possible information. This extraction approach maintains information completeness for safety-critical elements while reducing overall processing time and computing requirements.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. Critical regions receive full processing and information overlay, while non-critical regions receive reduced processing. This local differentiation maintains necessary information completeness while reducing total processing time and computational load.
2Manufacturing precision
If the entire image is processed with high detail to ensure clarity, then the image quality is improved, but the processing time and computing requirements increase
Solution Approach 1:
The patent applies high-detail processing only to specific regions of interest within the image, such as areas containing detected objects or regions requiring driver attention. Other regions receive lower-detail processing or no processing at all. This approach maintains necessary image quality for safety-critical areas while significantly improving processing efficiency.
Solution Approach 2:
The patent applies full processing quality only partially to essential regions rather than excessively processing the entire image. This partial action approach ensures sufficient quality where needed while improving overall processing efficiency by avoiding redundant high-detail processing in non-critical areas.
Data Source
AI summary
A method for displaying and processing an image includes capturing the image, calculating one or more of a size, a position, and a field of view of a first region of interest (ROI) of the captured image, calculating one or more of a size, a position, and a field of view of a second ROI of the captured image, calculating a blur factor for blurring the first ROI, manipulating an image gradient of the first ROI pixel by pixel using the blur factor to reduce at least one of a brightness or a contrast of one or more pixels of the ROI, manipulating the second ROI by changing a color of one or more pixel values from the second ROI, and displaying the processed image on a display. An imaging system which includes an image signal processor (ISP) is also described.