Blur Correction for Superimposed Projection Images
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Solution Overview
Problem
Current image processing technologies face challenges in effectively correcting focus blur in superimposed projection images, particularly when multiple image projection devices are used, as existing feedback-type correction methods are slow to converge and have limitations in eliminating large blurs.
Innovation Solution
An image processing device that uses a correction unit to obtain filter coefficients based on multiple blur characteristics, incorporating them into a single derivation formula to cancel out blur and enhance image quality by distributing corrected images to each projector device, allowing for improved blur correction performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If feedback type correction is used to correct focus blur in superimposed projection images, then correction can be achieved, but the correction process takes too much time to converge and may not converge when many image processing devices are used
Solution Approach 1:
The patent pre-calculates and stores filter coefficients for various blur characteristics in a lookup table before actual image projection. When correction is needed, the system simply retrieves the appropriate pre-computed coefficients based on measured blur characteristics, eliminating the time-consuming iterative feedback process while ensuring reliable convergence.
Solution Approach 2:
The patent divides the correction process into separate stages: (1) pre-computation of filter coefficients for different blur characteristics stored in lookup tables, and (2) runtime retrieval and application of appropriate coefficients. This segmentation allows complex calculations to be performed in advance when time is not critical, while runtime operation remains fast and reliable.
2Productivity
If filter based on inverse function of measured blur is used for correction, then correction processing can be performed in advance, but the size of blur that can be eliminated is limited
Solution Approach 1:
The patent changes the approach from using a single inverse function filter to using multiple filter coefficients corresponding to different blur characteristics (varying blur sizes and types). By selecting and applying the appropriate pre-computed coefficients from lookup tables based on actual blur measurements, the system can effectively eliminate larger blurs that were previously beyond the capability of standard inverse function filters.
Solution Approach 2:
The patent creates a composite correction system that combines multiple pre-computed filter coefficients for different blur characteristics into a unified lookup table structure. This composite approach allows the system to handle diverse blur conditions (different sizes and types) that cannot be addressed by a single filter design, effectively expanding the range of correctable blur sizes.
3Illumination intensity
If multiple image projection devices are used to gain luminance through superimposed projection, then luminance is improved, but focus blur occurs due to difficulty in arranging devices at appropriate positions
Solution Approach 1:
The patent applies different filter coefficients to correct focus blur for each image projection device based on its specific blur characteristics. By measuring the blur characteristics of each device and retrieving corresponding correction coefficients from lookup tables, the system provides localized correction tailored to each device's position and optical properties, enabling effective blur correction across multiple devices with different installation positions.
Data Source
AI summary
Correction performance is improved regarding a synthetic blur in which a plurality of blur characteristics is synthesized, for example, a focus blur that occurs in a superimposed projection image, or the like. An image processing device according to the present technology includes: a correction unit that obtains a plurality of blur-corrected images by performing blur correction processing on an input image regarding a focus blur that occurs in a projection image by an image projection device, by using a filter coefficient for blur correction corresponding to each of a plurality of blur characteristics, the filter each being obtained on the basis of the plurality of blur characteristics; and an image output unit that individually outputs the plurality of blur-corrected images obtained by the correction unit.