ROI Extraction for High-Resolution Image Transmission
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Solution Overview
Problem
High-resolution image capturing technologies face challenges in achieving both high resolution and high transmission speed due to large data volumes, and existing Image Signal Processing (ISP) methods can result in information loss during data transmission.
Innovation Solution
The method involves buffering pixel data from high-resolution images and transmitting only the Region Of Interest (ROI) data, eliminating the need for ISP to preserve detail information and enhance transmission speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution (4096*4096) is used for capturing images, then image quality is improved, but transmission speed becomes slow due to large data volume
Solution Approach 1:
The patent segments the image data by identifying and separating the Region of Interest (ROI) from the rest of the image. Only the ROI portion containing relevant target information is transmitted, while the remaining data is discarded. This segmentation approach maintains high resolution for the important region while significantly reducing the total data volume for transmission.
Solution Approach 2:
The patent extracts only the essential information (ROI) from the complete high-resolution image data. By using algorithms to identify and extract the region containing the target object, the system transmits only the extracted relevant data portion, thereby improving transmission speed without sacrificing the quality of the important information.
2Ease of operation
If Image Signal Processing (ISP) is integrated in the camera or provided separately, then image data is processed for human eyes, but detail information is lost during processing
Solution Approach 1:
The patent extracts the ROI from the original pixel data before any ISP processing occurs. By performing extraction at this early stage and transmitting only the extracted ROI, the system avoids subsequent ISP processing that would otherwise lose detail information. The extracted region maintains its original high-quality pixel data without undergoing lossy processing.
Solution Approach 2:
The patent performs ROI extraction as a preliminary action before the image data undergoes ISP processing. This preliminary extraction ensures that only the necessary region is processed and transmitted, preserving detail information that would be lost if the entire image underwent standard ISP processing. The preliminary identification and extraction of the target region prevents information loss in subsequent processing steps.
Data Source
AI summary
The present disclosure provides a method for image capturing, a method for image capturing control and associated apparatuses. The method for image capturing includes: obtaining Region Of Interest (ROI) information of a target ROI corresponding to a current frame of image; buffering captured pixel data of the current frame of image; obtaining, when determining that the pixel data of the current frame of image has been buffered completely, pixel data associated with the target ROI from the buffered pixel data of the current frame of image based on the ROI information if the ROI information of the target ROI corresponding to the current frame of image can be obtained; and outputting the pixel data associated with the target ROI.