Lens Blur Correction via Pre-calculated Quantitative Values
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing technologies require individual adjustment processes during manufacturing, increasing costs and failing to correct image deterioration caused by accidents such as collisions or drops after shipment, particularly due to partial blur issues specific to each lens.
Innovation Solution
An image processing device that calculates quantitative values from sample images, calculates average values, and corrects images based on these values, allowing for cost-effective correction of image deterioration without individual adjustments, using a quantitative value calculating unit, average value calculating unit, holding unit, and correcting unit to address partial blur and other image quality issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If individual adjustment process is executed during manufacturing to correct partial blur, then image quality is improved, but manufacturing cost increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction values for various lens characteristics and shooting conditions in a database during the manufacturing phase. Instead of performing individual adjustment for each lens, the system prepares correction data in advance based on lens type and other parameters, then automatically selects and applies the appropriate correction during image processing. This eliminates the need for time-consuming individual adjustment while maintaining image quality.
Solution Approach 2:
The patent changes parameters by transitioning from individualized adjustment parameters to standardized correction values organized by lens type and shooting condition. The system stores correction values for multiple discrete conditions (different lenses, focal lengths, apertures, shooting distances) and selects the appropriate pre-calculated correction based on matching these parameters. This parameter-based approach replaces complex individual adjustments with efficient parameter lookup and application.
2Reliability
If individual adjustment process is required for each lens, then partial blur correction is effective, but adjustment time increases
Solution Approach 1:
The system performs preliminary calculation and storage of correction values for various lens and shooting conditions during manufacturing. The database is pre-populated with correction data for different lens types, focal lengths, apertures, and shooting distances. During actual use, the system quickly retrieves the appropriate pre-calculated correction values based on the current shooting conditions, eliminating the need for time-consuming individual adjustment processes while maintaining correction effectiveness.
Solution Approach 2:
The system dynamically selects and applies appropriate correction values from the database based on real-time shooting conditions such as lens type, focal length, aperture, and shooting distance. The correction process adapts to different conditions by automatically choosing the most suitable pre-calculated correction parameters, providing effective correction without requiring manual adjustment time for each scenario.
3Reliability
If manufacturing process includes individual adjustment, then image deterioration after shipment is correctable, but production complexity increases
Solution Approach 1:
The patent applies universality by creating a comprehensive database that serves multiple functions: correcting manufacturing variations, compensating for accidental damage, and adapting to different shooting conditions. The same database infrastructure and correction mechanism handle all these scenarios, eliminating the need for separate adjustment processes for each situation. This universal approach maintains correctability while reducing production complexity.
Solution Approach 2:
The system enables self-service by automatically selecting and applying appropriate correction values from the database based on lens type and shooting conditions without requiring manual individual adjustment. The automated correction process works for all lenses and conditions, allowing the system to self-correct image deterioration from manufacturing variations or accidental damage without complex production processes or manual intervention.
Data Source
AI summary
The present technology relates to an image processing device, an image processing method, and an imaging device capable of correcting an image according to characteristics peculiar to each lens without executing an individual adjustment process. An image processing device according to a first aspect of the present technology includes a quantitative value calculating unit which calculates a quantitative value of a sample image based on an obtained image, an average value calculating unit which calculates an average value of the quantitative values calculated from a plurality of the sample images, a holding unit which holds the calculated average value of the quantitative values, and a correcting unit which corrects an imaged image on the basis of the held average value of the quantitative values. The present technology can be applied to a digital camera.