Image Processing for High-Speed Projection Blur Suppression
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Solution Overview
Problem
In image projection systems, the superimposition of frame images at different times can lead to superimposition blur, particularly in motion areas, resulting in reduced subjective image quality.
Innovation Solution
An image processing apparatus and method that perform image processing on each frame image before projection, minimizing the error between frame images and the projection image by optimizing pixel values using linear programming and filtering techniques, ensuring the projection image maintains high brightness without superimposition blur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple frame images are projected simultaneously to achieve high frame rate projection, then projection speed is improved, but superimposition blur occurs in motion areas reducing image quality
Solution Approach 1:
The patent applies preliminary action by performing image processing on each frame image before projection. Specifically, it calculates corrected pixel values for each frame image in advance using linear programming, taking into account the superimposition that will occur during projection. This pre-processing ensures that when frames are projected simultaneously at high speed, the superimposition blur is suppressed and image quality is maintained.
2Manufacturing precision
If frame images are corrected to minimize superimposition blur, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based solutions with computational methods. Instead of using multiple projection apparatuses operating at different frame rates or specialized viewing equipment, the invention uses linear programming algorithms to calculate corrected pixel values. This substitution of computational processing for mechanical complexity achieves image quality improvement while maintaining system simplicity.
Solution Approach 2:
The patent applies parameter changes by modifying pixel values through linear programming optimization. It changes the parameters (pixel values) of each frame image to minimize superimposition blur while maintaining brightness. The linear programming approach systematically adjusts these parameters to achieve the optimal balance between image quality and brightness without requiring complex hardware modifications.
3Measurement precision
If pixel values are corrected using linear programming to minimize error, then image accuracy is improved, but calculation time increases
Solution Approach 1:
The patent performs the linear programming calculation in advance for each frame image before projection occurs. By calculating the corrected pixel values beforehand and storing them, the system avoids real-time computation during projection. This preliminary calculation approach ensures high image accuracy through precise linear programming optimization while minimizing calculation time during the actual projection process.
Data Source
AI summary
The present disclosure relates to an image processing apparatus and method that enable suppression of a reduction in subjective image quality. Image processing is performed on each of a plurality of frame images before projection. The image processing suppresses an influence of superimposition of the plurality of frame images in a projection image in projecting each of the plurality of frame images cyclically using a corresponding one of a plurality of projection sections. The plurality of frame images is included in a moving image. The present disclosure can be applied to, for example, an image processing apparatus, an image projection apparatus, a control apparatus, an information processing apparatus, an image projection system, an image processing method, a program, or the like.