Image Processing Apparatus for Iterative Blur Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing algorithms for removing blurring are effective only under specific conditions, such as linear blurring, and fail to accurately correct blurring in complex or bent paths, limiting user satisfaction with the deblurred image.
Innovation Solution
An image processing apparatus that generates and displays intermediate images corrected in multiple blur directions, allowing the user to visually select the optimal direction and amount of blur correction, iteratively refining the correction process to achieve accurate blurring removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated algorithms are used to estimate blur direction, then processing speed is improved, but accuracy is worsened because the algorithms are effective only under specific conditions
Solution Approach 1:
The system allows the user to independently determine the blur direction by visually selecting from multiple candidate images, making the user the decision-maker rather than relying on automated algorithms. This self-service approach enables accurate blur direction determination for complex blurring patterns while maintaining efficient processing through automated generation of candidate images.
2Measurement precision
If multiple blur correction directions are generated for user selection, then accuracy is improved, but device complexity is worsened
Solution Approach 1:
The blur correction process is segmented into multiple independent candidate images, each representing a different blur direction hypothesis. The system divides the complex task of determining the correct blur direction into manageable segments that can be visually compared and selected by the user, simplifying the decision-making process while maintaining high accuracy.
3Measurement precision
If iterative blur correction is performed multiple times, then accuracy is improved, but loss of time is worsened
Solution Approach 1:
The system performs preliminary actions by generating multiple candidate images with different blur directions before the user makes a selection. This preliminary generation of options allows the user to quickly identify the correct blur direction in a single viewing, avoiding the need for multiple iterative corrections and reducing overall processing time while maintaining high accuracy.
Data Source
AI summary
An image processing apparatus that can be connected to a display device and removes blurring from a first-order image is provided. The image processing apparatus includes a generation unit, a display control unit, and a selection reception unit. The generation unit generates multiple I-th order intermediate images by performing blur correction in multiple blur directions on an I-th order image. The display control unit causes the multiple I-th order intermediate images to be displayed on the display device. The selection reception unit allows the user to select an (I+1)-th order image from among the displayed multiple I-th order intermediate images as a corrected image whose blurring has been reduced more than in the I-th order image. The generation unit, the display control unit, and the selection reception unit execute the above processing in order with respect to I=1, 2, . . . , K (K being a natural number).