Selective Pixel Readout for Rectilinear Image Transformation
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Solution Overview
Problem
Conventional imaging systems that read out the entire pixel array for each image require increased processing, memory, and power capabilities, especially when capturing non-rectilinear images with wide-angle lenses, which results in unnecessary data processing and power consumption.
Innovation Solution
A method and apparatus that selectively read out non-rectilinear subsets of the pixel array to form a rectilinear primary image, allowing only the necessary pixel signals to be processed and reducing unnecessary data handling and power consumption by discarding the remaining pixel signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the entire pixel array is read out for each image, then complete image data is captured, but processing time and power consumption increase
Solution Approach 1:
The pixel array is segmented into multiple regions, and only the relevant region containing the object of interest is read out and processed. This segmentation allows the system to capture complete image data for the area of interest while ignoring unnecessary areas, thereby reducing power consumption and processing requirements without losing important information.
Solution Approach 2:
The patent extracts and reads out only the specific pixel subset corresponding to the object of interest from the entire pixel array. By taking out only the necessary portion of the image data, the system avoids processing unnecessary pixels,ไป่ reducing power consumption and processing time while maintaining complete information about the target object.
2Loss of information
If the entire pixel array is read out for each image, then all pixel signals are available, but processing complexity and memory requirements increase
Solution Approach 1:
The image processing is segmented into two stages: first reading out only the relevant pixel subset to reduce data volume, then performing necessary processing on this reduced dataset. This segmentation of the processing workflow reduces overall processing complexity and memory requirements while ensuring all necessary pixel signals for the object of interest are available.
Solution Approach 2:
The patent extracts only the necessary pixel signals from the entire array for processing. By removing unnecessary pixel data before processing, the system reduces processing complexity and memory requirements while maintaining availability of all relevant pixel signals needed for accurate image formation.
3Area of stationary object
If wide angle lens is used to capture larger field of view, then more scene is captured, but image distortion increases
Solution Approach 1:
The captured image is segmented into a central region and peripheral regions. The central region, which contains the object of interest, is processed with higher fidelity and less distortion, while the peripheral regions with higher distortion are either discarded or processed differently. This segmentation allows the system to maintain a wide field of view while preserving image quality for the important central area.
Solution Approach 2:
Different quality levels are applied to different regions of the image. The central region containing the object of interest receives higher quality processing with minimal distortion, while peripheral regions accept higher distortion levels. This local quality approach allows the system to optimize for the most important area while maintaining overall wide field of view coverage.
4Shape
If rectilinear transformation is applied to correct distortion, then image quality improves, but processing time increases
Solution Approach 1:
The rectilinear transformation is applied selectively only to the central region containing the object of interest, rather than to the entire image. This segmented approach reduces the total processing time required for rectilinear correction while maintaining image quality for the most important area. The peripheral regions either receive minimal processing or are discarded.
Solution Approach 2:
The patent extracts the central region requiring rectilinear transformation from the entire image, applies the transformation only to this extracted portion, and then integrates it back. By taking out only the necessary region for transformation, the system reduces overall processing time while maintaining rectilinearity where it matters most.
Data Source
AI summary
Various embodiments of the present technology may comprise a method and apparatus for pixel readout. The method and apparatus may comprise a pixel array capable of reading out one or more non-rectilinear subsets of the pixel array to form a non-rectilinear primary image. The one or more non-rectilinear subsets may be selected according to a desired rectilinear output image, wherein the rectilinear output image is formed using only the one or more subsets. The primary image may then be transformed to form the rectilinear output image.