Dual-View Image Display Nonlinear Enlargement Distortion
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Solution Overview
Problem
Existing dual-view image display devices suffer from severe image distortion when enlarging split images, resulting in poor image quality due to aspect ratio discrepancies.
Innovation Solution
A dual-view image display device and method that uses a nonlinear processing module to split and nonlinearly enlarge images, interpolating pixels to maintain image quality, with the enlarged areas arranged in a specific sequence to minimize distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If linear enlargement is used to display split images in fullscreen, then the images can be displayed at full screen size, but severe image distortion occurs due to aspect ratio discrepancy
Solution Approach 1:
The patent divides the split image into multiple areas (first area, second area, third area, fourth area) and applies different enlargement methods to each area. The central areas (first and third) use linear enlargement while the side areas (second and fourth) use nonlinear enlargement, allowing different parts of the image to be optimized for their specific aspect ratio requirements.
Solution Approach 2:
Different enlargement strategies are applied to different regions of the image. The central regions maintain linear enlargement for simplicity, while the side regions use nonlinear enlargement to correct distortion. This local differentiation allows the system to optimize image quality in critical areas without unnecessarily complicating the entire enlargement process.
2Adaptability or versatility
If the frame image is split into two images for dual-view display, then two individuals can watch respective images in fullscreen, but the size of each split image becomes half the frame image size requiring enlargement
Solution Approach 1:
The patent segments the enlargement process into different zones within each split image. By dividing each half-size image into four areas and applying targeted enlargement methods to each, the system maintains dual-view functionality while minimizing the quality loss that would otherwise result from uniform linear enlargement of the entire image.
3Manufacturing precision
If nonlinear enlargement is applied to the entire image, then image distortion can be reduced, but the processing complexity increases
Solution Approach 1:
Rather than applying complex nonlinear enlargement to the entire image, the patent segments the image and applies nonlinear methods only to specific side areas where distortion is most problematic. This reduces the overall computational complexity compared to full-image nonlinear processing while still achieving significant distortion reduction.
Solution Approach 2:
The patent applies computational resources selectively to areas where they are most needed. By using nonlinear enlargement only for the second and fourth areas (side regions) while using simpler linear enlargement for the first and third areas (central regions), the system optimizes image quality in distortion-prone areas without unnecessarily increasing processing complexity across the entire image.
Data Source
AI summary
A dual-view image display device includes a signal input module, a video processing module, a dual-view processing module and a display module, and the video processing module includes a nonlinear processing module. A dual-view image display method includes: inputting a video signal having a frame image that is split into two first images, processing the video signal to obtain the two first images, horizontally or vertically splitting each of the two first images into areas, nonlinearly enlarging each of the areas, and interpolating pixels to each of the enlarged areas to obtain two fullscreen second images. The nonlinear enlargement is used to allow the enlarged images generated during the dual-view image display to be robust to distortion, resulting in better image quality.