Image Signal Processor ROI-Based Resolution Segmentation
Solution Overview
Problem
Current image processing systems face inefficiencies in conserving power, bandwidth, and processing time due to the need to process entire image frames at full resolution, particularly when only a region of interest (ROI) requires high resolution, while non-ROI regions can be processed at lower resolution.
Innovation Solution
Implementing ROI-based imaging techniques by providing an indication of the ROI to both the image sensor and the image signal processor (ISP), allowing the ISP to receive image data and ROI indicators simultaneously, enabling the image sensor to generate image data at full resolution within the ROI and lower resolution outside the ROI, thereby reducing the amount of data processed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If entire image frames are processed at full resolution, then image quality and detail are maintained, but power consumption, bandwidth usage, and processing time increase significantly
Solution Approach 1:
The patent divides the image into two distinct segments: region of interest (ROI) and non-ROI areas. The ROI is processed at full resolution while the non-ROI is processed at lower resolution, thereby reducing overall processing load and power consumption while maintaining quality where needed.
Solution Approach 2:
Different regions of the image are assigned different processing qualities. The ROI receives high-resolution processing to maintain detail, while the non-ROI receives reduced-resolution processing to conserve resources. This local differentiation optimizes the balance between quality and efficiency.
2Measurement precision
If entire image frames are processed at full resolution, then image quality is maintained, but processing time increases
Solution Approach 1:
By segmenting the image into ROI and non-ROI portions, the patent processes only the necessary ROI area at full resolution, significantly reducing processing time while maintaining quality where it matters most.
Solution Approach 2:
Instead of processing the entire image at full resolution (excessive action), the patent applies full resolution processing only to the necessary ROI (partial action), thereby reducing processing time without sacrificing required quality.
3Measurement precision
If entire image frames are processed at full resolution, then image quality is maintained, but bandwidth consumption increases
Solution Approach 1:
The patent segments the image data into ROI and non-ROI portions, transmitting and processing only the ROI at full resolution. This significantly reduces the quantity of data that needs to be handled, thereby reducing bandwidth consumption while maintaining quality where needed.
Solution Approach 2:
The patent extracts only the necessary ROI portion from the full image frame for high-resolution processing, while discarding or downscaling the non-ROI portion. This extraction approach reduces data volume and bandwidth requirements while preserving essential information.
Data Source
AI summary
Systems and techniques are described herein for processing data. For instance, an apparatus for processing data is provided. The apparatus may include an image signal processor (ISP) configured to: receive image data and an indication of a region of interest (ROI) from an image sensor; determine image-processing settings for processing the image data based on the ROI; and process the image data based on the image-processing settings.