Image Processing for Accurate Recognition of Distant Subjects
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Solution Overview
Problem
Existing image processing technologies struggle to accurately recognize distant subjects in captured images, as they occupy a small portion and are difficult to process effectively.
Innovation Solution
An image processing device that performs first and second image processing on captured images, specifying a distant portion and applying different processing methods to enhance recognition, including region recognition and vanishing point estimation to accurately identify and enlarge distant subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed on a captured image, then processing can be completed, but distant subjects cannot be accurately recognized
Solution Approach 1:
The image processing is divided into two distinct stages: first image processing for the entire image and second image processing specifically for the distant portion. This segmentation allows each processing stage to be optimized for its specific purpose, with the second processing focused on enhancing distant subjects that were not adequately recognized in the first processing stage.
Solution Approach 2:
Different image processing methods are applied to different regions of the image. The distant portion receives specialized second image processing that is tailored to its specific characteristics (small size, low visibility), while other regions continue to use the first image processing approach. This local quality enhancement ensures that each region is processed with the most appropriate method.
2Measurement precision
If the same image processing is applied to the entire image, then processing is simple, but distant subjects are not accurately recognized
Solution Approach 1:
The processing system is segmented into multiple processing means, each responsible for specific tasks. The first processing means handles general image processing, while the second processing means specifically targets distant portions. This functional segmentation increases accuracy while keeping the overall system structure organized and manageable.
Solution Approach 2:
The first image processing is performed as a preliminary step on the entire image before the second image processing is applied to the distant portion. This preliminary action prepares the image data and identifies regions that require further specialized processing, allowing the system to efficiently allocate processing resources to where they are most needed.
Data Source
AI summary
An image processing device includes an image acquiring unit, a first processing unit, a second processing unit and an outputting unit. The image acquiring unit is configured to acquire an image captured by an imaging device. The first processing unit is configured to perform first image processing on the image; a distant specifying means for specifying a distant portion of the image The second processing unit is configured to perform, on the distant portion of the image, second image processing differing from the first image processing The outputting unit is configured to provide output that is based on a processing result of the first image processing and a processing result of the second image processing.