Passive 3D Image Luminance Compensation via Row Merging
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Solution Overview
Problem
Passive 3D image display systems suffer from insufficient luminance and detail due to the halving of horizontal resolution when merging left-eye and right-eye images, and existing frame-rate doubling techniques are limited to display systems capable of supporting 120 Hz, which is not widely adopted.
Innovation Solution
A passive 3D image system comprising a down-scaling module and a luminance adjusting module that generates and adjusts scaled images to increase overall luminance, allowing for better image definition without requiring a doubling of the frame rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If left-eye and right-eye images are merged by averaging neighboring rows to generate scaled image data, then the passive 3D display can be implemented with simple hardware, but the horizontal resolution is halved and image luminance becomes insufficient
Solution Approach 1:
The patent changes the processing parameters by applying luminance enhancement to the scaled image data. Instead of simply averaging rows, the system adjusts the luminance parameter of the merged image to compensate for the resolution loss, thereby maintaining visual quality while using simple hardware merging operations
Solution Approach 2:
The patent applies asymmetric processing where left-eye and right-eye images may be treated differently during the merging process. The luminance adjustment can be applied selectively to different eye channels or different regions of the image, allowing optimization of perceived quality without requiring symmetric complex processing for both eyes
2Manufacturing precision
If frame rate is doubled to 120 Hz to improve image quality, then image definition is enhanced, but the display system requires hardware supporting 120 Hz which is not widely adopted
Solution Approach 1:
Instead of solving the image quality problem in the temporal dimension (doubling frame rate to 120 Hz), the patent transitions to solving it in the luminance dimension. By enhancing the brightness and contrast of the scaled image, the system achieves improved perceived quality without requiring higher frame rates, thus maintaining compatibility with 60 Hz hardware
3Ease of manufacture
If original left-eye and right-eye images with 1080 pixels horizontal resolution are merged into 540 pixels, then passive 3D display is achievable, but the image appears to have insufficient luminance, details and clearness
Solution Approach 1:
The patent directly addresses the luminance deficiency by applying luminance enhancement processing to the scaled image data. The system adjusts brightness, contrast, and other luminance-related parameters to compensate for the resolution halving, ensuring that the perceived image quality remains acceptable despite the 1080-to-540 pixel reduction
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
The system enhances image luminance and detail perception, providing a higher definition visual experience suitable for hardware with fixed frame rates and offering greater application flexibility compared to conventional techniques.
Implementation Method 1
a polarization angle corresponding to the odd-row pixels R1, R2, R3 . . . may be designed as 45 degrees, and polarization angle corresponding to the even-row pixels L1, L2, L3 may be designed as 135 degrees
Data Source
AI summary
A passive 3D image system includes a passive 3D image display apparatus, a scaling module and a luminance adjusting module. The 3D passive image display apparatus includes N rows of display units. After receiving an original image including N rows of original data, the scaling module merges the N rows of original data to generate a scaled image including N/2 rows of scaled data. The original image is either a left-eye image or a right-eye image. The luminance adjusting module adjusts the N/2 rows of scaled data to increase the luminance of the scaled image.