ROI-Based Image Comparison Display for Processing Time Reduction
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Solution Overview
Problem
Electronic devices face challenges in improving image quality due to factors like camera movement, lighting, humidity, sensor temperature, and data compression, leading to suboptimal image display.
Innovation Solution
The electronic device employs image processing to identify regions of interest (ROIs) within an image, allowing for the display of both original and processed image portions, facilitated by hardware and software components that enhance image quality through algorithms like AI and deep learning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image processing is performed to improve image quality, then image quality is improved, but processing time and computational complexity increase
Solution Approach 1:
The image is divided into multiple regions of interest (ROIs) based on object detection and arrangement relationships. Only these specific regions undergo detailed processing and comparison, rather than processing the entire image. This segmentation approach maintains image quality improvement while reducing overall processing time by focusing computational resources on critical areas.
Solution Approach 2:
Different processing approaches are applied to different regions of the image. Regions containing important objects or arrangements receive enhanced processing, while other areas use standard processing. This local quality principle ensures that image quality is improved where it matters most without unnecessarily processing entire images at high computational cost.
2Manufacturing precision
If multiple regions of interest are processed and displayed, then image quality improvement is enhanced, but display complexity increases
Solution Approach 1:
The display is segmented to show different portions of original and processed images corresponding to different regions of interest. Each ROI is presented as a separate comparative view, allowing users to clearly see quality improvements without being overwhelmed by displaying entire images. This segmentation simplifies the display complexity by breaking down complex comparisons into manageable regional segments.
3Manufacturing precision
If image processing is applied to entire images, then overall quality improves, but processing efficiency decreases
Solution Approach 1:
The patent extracts and identifies specific regions of interest from the entire image based on object detection and arrangement analysis. Only these extracted regions undergo detailed processing and comparison, while the rest of the image receives standard processing. This extraction approach maintains overall image quality improvement while significantly improving processing efficiency by avoiding redundant processing of non-critical areas.
Data Source
AI summary
An electronic device may include: a memory for storing instructions; one or more processors; and a display. When executed by the one or more processors, the instructions can cause the electronic device to: acquire a second image on the basis of image processing on a first image; acquire one or more regions of interest (ROIs) on the basis of one or more objects included in the first image; and display a first portion of the first image and a second portion of the second image through the display on the basis of a first ROI from among the one or more ROIs.