Image Composition via Position Discrepancy Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing techniques face challenges in composing images with moving objects due to low frame rates for high resolution still images and low precision in detecting position discrepancies between low resolution images, leading to distorted edges and blurred results.
Innovation Solution
An image processing device with an image input section, position discrepancy detecting section, and image composition section that reads low resolution images and a high resolution image, detects position discrepancies using phase shifting and detail detection, and composes images by relocating low resolution images based on detected discrepancies, adjusting composite rates according to signal differences and local signal variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution still images are read out multiple times for divided exposure, then image composition quality can be improved, but time intervals between images widen significantly and frame rate decreases
Solution Approach 1:
The patent segments the imaging process into two distinct parts: capturing multiple low-resolution images at high frame rates and capturing a single high-resolution image. This segmentation allows the system to achieve both high frame rate for the low-res images and high image quality for the final composition, resolving the contradiction between productivity and precision.
Solution Approach 2:
The patent changes the resolution parameter dynamically during the imaging process. By capturing low-resolution images at high frame rates and then capturing a high-resolution image, the system adapts the resolution parameter to meet different requirements at different stages, achieving both high frame rate and high image quality.
2Productivity
If low resolution images are read out at high frame rate, then time intervals between images are shortened, but precision of detecting position discrepancy becomes rough and patterns are distorted
Solution Approach 1:
The patent segments the imaging process into two parts: capturing multiple low-resolution images at high frame rates for rapid sequential capture, and capturing a single high-resolution image for precise position discrepancy detection. This segmentation allows the system to achieve both high frame rate and high detection precision.
Solution Approach 2:
The high-resolution image acts as an intermediary reference for detecting position discrepancies between low-resolution images. By using the high-resolution image as a mediator, the system can achieve precise position discrepancy detection even when working with low-resolution images captured at high frame rates.
3Productivity
If position discrepancy is detected with low precision, then processing speed is maintained, but edge parts become distorted and blurred after composition
Solution Approach 1:
The high-resolution image serves as an intermediary reference that enables precise position discrepancy detection. By using this intermediary, the system can detect position discrepancies with high precision without significantly reducing processing speed, thereby maintaining both productivity and edge precision.
Solution Approach 2:
The system performs preliminary position discrepancy detection using the high-resolution image as a reference before composing the final image. This preliminary action allows for precise positioning to be established in advance, ensuring that edge parts are not distorted during the composition process.
Data Source
AI summary
The image processing device of the present invention is provided with an image input section, a position discrepancy detecting section, and an image composition section. The image input section reads a plurality of low resolution images imaging a same object, and at least one high resolution image imaging a same object. The position discrepancy detecting section detects position discrepancy of patterns between respective low resolution images and the high resolution image. The image composition section positions and composes patterns of the plurality of low resolution images based on the position discrepancy.