Imaging Device Composite Image Generation for Large Object Quality
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Solution Overview
Problem
Conventional imaging devices struggle to capture highly accurate images of large objects, such as A3-sized sheets, due to the need for a single shot capture which results in reduced image quality, making it difficult to identify unevenness or banding in printed data.
Innovation Solution
The imaging device divides the object into multiple areas, captures and corrects each divided image, and then generates a composite image by compositing the corrected images, ensuring accurate alignment and size adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single shot capture is used for large objects, then the capture process is simple and fast, but the image quality is reduced making it difficult to identify unevenness or banding
Solution Approach 1:
The imaging device divides a large-size sheet into multiple divided areas and captures images of each area separately. This segmentation approach allows each captured image to maintain high quality while covering the entire large object, resolving the contradiction between image quality and capture simplicity.
2Measurement precision
If multiple divided images are captured and composited, then image quality improves, but the processing complexity increases
Solution Approach 1:
The system performs preliminary actions by dividing the sheet into multiple areas before capture, and automatically composites the divided images afterward. This pre-planned segmentation and post-processing automation reduces the perceived complexity while maintaining high image accuracy.
Solution Approach 2:
The imaging device creates multiple copied views of different divided areas of the sheet, then composites them into a complete high-quality image. This copying approach allows detailed examination of each area while maintaining overall image accuracy.
3Productivity
If a single image captures the entire large object, then the process is efficient, but the detection of image quality issues becomes difficult
Solution Approach 1:
By segmenting the large sheet into multiple smaller divided areas and capturing each separately, the system maintains capture efficiency while enabling detailed detection of image quality issues in each segment. The divided images can be examined individually for unevenness or banding.
Solution Approach 2:
The system transitions from a single-view capture to a multi-view segmented capture approach, adding the dimension of divided areas. This allows efficient overall capture while enabling detailed quality detection in each dimension of the divided images.
Data Source
AI summary
An imaging device includes: an imaging unit that divides an object to be imaged into multiple areas, and captures multiple divided images; a correcting unit that corrects the multiple divided images captured by the imaging unit; and a generating unit that generates one composite image by compositing the multiple divided images after being corrected by the correcting unit.