3D Image Processor Light Beam Confining Plate
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Solution Overview
Problem
Existing 3D image capturing technologies using primary color (RGB) based color filters face significant light quantity issues, leading to inefficient light usage and increased device size and manufacturing costs when mechanical mechanisms are employed to remove color filters from the optical path.
Innovation Solution
An image processor that matches the colors of two images with parallax by extracting in-focus areas, calculating a color conversion matrix, and converting the color of one image using this matrix, allowing for efficient light usage without mechanical driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If primary color (RGB) based color filters are used to capture multi-viewpoint images, then images with parallax can be obtained, but the quantity of light received by the image sensor is much smaller
Solution Approach 1:
The light beam confining plate is divided into multiple regions (first region, second region, third region) with different spectral transmittance characteristics. Each region transmits specific wavelength ranges, allowing the system to capture multiple images with parallax while maintaining adequate light quantity through strategic segmentation of the optical path.
Solution Approach 2:
Different regions of the light beam confining plate are assigned different spectral transmittance characteristics tailored to their specific functions. The first region transmits wavelengths for the first image, the second region for the second image, and the third region for the third image, optimizing light transmission for each viewpoint independently.
2Loss of energy
If mechanical mechanisms are employed to remove color filters from the optical path to improve light efficiency, then light usage efficiency improves, but device size and manufacturing costs increase
Solution Approach 1:
The color filter function is extracted from the optical path and integrated into the light beam confining plate structure. By incorporating spectral transmittance characteristics directly into the plate's regional design, the system eliminates the need for separate mechanical color filter mechanisms while maintaining light efficiency.
Solution Approach 2:
The light beam confining plate combines multiple functions: it confines light beams for different viewpoints, provides spectral transmittance characteristics for color filtering, and eliminates the need for separate mechanical components. This merging of functions reduces device complexity while maintaining light usage efficiency.
3Shape
If color filters are arranged at distant positions to increase parallax effect, then the parallax effect is enhanced, but the percentage of incoming light used decreases significantly
Solution Approach 1:
Instead of increasing parallax by moving color filters to distant positions in the optical path, the system uses spectral dimension (wavelength ranges) to differentiate between viewpoints. The light beam confining plate transmits specific wavelength ranges for each region, achieving parallax through spectral separation rather than spatial distance, thereby maintaining high light usage efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the generation of multi-viewpoint images with improved light efficiency and reduced device complexity, eliminating the need for mechanical mechanisms, thus lowering costs and size.
Implementation Method 1
a light beam confining plate having a first region that transmits light rays with first wavelength ranges, a second region that transmits light rays with second wavelength ranges, and a third region that transmits light rays with third wavelength ranges
Data Source
AI summary
An image processor 7 includes: an in-focus area extracting section 72 that extracts an in-focus area of two images with parallax; a color conversion matrix calculating section 73 that obtains a color conversion matrix between the two images by reference to information about the colors of pixels that are included in the in-focus area of the two images; and a color conversion section 74 that converts the color of one of the two images by using the color conversion matrix.