Image Restoration Using Inverse Optical Transfer Function Correction
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Solution Overview
Problem
Existing image restoration technologies fail to accurately determine the correctable range of correction values for image pickup systems, leading to inadequate restoration effects and noise amplification, especially when combining various image pickup conditions such as focal length, F-number, image pickup distance, and pixel size.
Innovation Solution
An image processing program that acquires optical transfer function information corresponding to specific image pickup conditions, generates a restoration image using corrected optical transfer function information, and sets a settable range for correction values based on the inverse characteristic of the optical transfer function, allowing users to determine optimal correction values within a defined correctable range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image restoration processing is performed using traditional Wiener filter methods, then noise amplification is suppressed, but the correction value range is limited and cannot achieve maximum restoration effect
Solution Approach 1:
The patent applies dynamics by making the correction value adjustable and adaptable rather than fixed. The system dynamically determines the correction value based on the relationship between the inverse characteristic value and the actual image pickup conditions (focal length, F-number, image pickup distance, pixel size). This allows the correction value to be optimized for each specific shooting scenario, enabling the system to achieve maximum restoration effect while adapting to varying conditions, thus resolving the contradiction between noise suppression and restoration accuracy.
2Manufacturing precision
If the correction value is increased to improve restoration effect, then image resolution is improved, but noise amplification increases
Solution Approach 1:
The patent applies parameter changes by introducing a scientifically determined correction value that is calculated based on the inverse characteristic value and actual image pickup conditions. Instead of using a fixed correction value or relying solely on user selection, the system computes an optimal correction value that accounts for the specific optical parameters (focal length, F-number, image pickup distance, pixel size). This parameter-based approach enables achieving maximum restoration effect while controlling noise amplification, as the correction value is precisely tuned to the actual shooting conditions.
3Adaptability or versatility
If the correctable range is extended to cover all possible correction values, then user flexibility is improved, but it becomes difficult to determine the optimal correction value
Solution Approach 1:
The patent applies feedback by providing the user with the scientifically determined correction value (or its relationship to the inverse characteristic value) as reference information. The system calculates the optimal correction value based on the inverse characteristic value and actual image pickup conditions, then presents this information to guide the user's selection. This feedback mechanism helps users make informed decisions about correction value selection, making the operation easier while still allowing flexibility to choose from a range of values if desired.
Data Source
AI summary
A non-transitory computer-readable storage medium stores a process for causing a computer to execute a method including the steps of acquiring optical transfer function information corresponding to an image pickup condition of a picked-up image (S102), generating a restoration image using correction optical transfer function information that is obtained by correcting the optical transfer function information using a correction value (S106-S108), and setting a settable range of the correction value based on an inverse characteristic of the optical transfer function information (S103, S104).