Lenticular Lens Sub-Pixel Correction for 3D Display Distortion
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Solution Overview
Problem
Lenticular lenses cause distortion in images due to differences in how images are viewed from different angles, leading to disconnection and color separation phenomena, which affect the quality of 3D display devices.
Innovation Solution
A display device with a lenticular lens identifies areas of distortion by detecting edges with similar slanted angles and applies combination values to sub-pixels to correct these distortions, using predefined slanted angles and preset ranges to allocate corrected output values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a lenticular lens is used to generate 3D effects, then different images can be viewed from different positions, but distortion including disconnection and color separation occurs in the displayed image
Solution Approach 1:
The patent applies preliminary action by pre-identifying distortion areas in the image before display, using edge detection and slanted angle analysis to locate regions that will exhibit disconnection or color separation when viewed through the lenticular lens. This allows corrective combination values to be pre-calculated and applied to sub-pixels in these identified areas, preventing the distortion from manifesting in the final displayed image.
Solution Approach 2:
The patent implements local quality by applying different combination values to sub-pixels based on their specific locations within distortion areas. Rather than uniformly processing the entire image, the method selectively identifies regions with edges having slanted angles similar to the lenticular lens orientation and applies targeted corrections only to those local areas, preserving image quality where distortion does not occur while correcting problematic regions.
2Manufacturing precision
If sub-pixel values are adjusted to correct distortion, then image quality improves, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct stages: edge detection, slanted angle calculation, distortion area identification, and sub-pixel value adjustment. By segmenting the complex correction process into manageable steps, the system can efficiently handle the processing requirements without overwhelming computational complexity, as each stage operates on specific image features rather than the entire image data.
Solution Approach 2:
The patent implements parameter changes by modifying sub-pixel output values based on calculated combination values that depend on the slanted angle parameters of detected edges. The processing complexity is managed by changing only the necessary parameters (sub-pixel values in distortion areas) rather than reprocessing the entire image, using mathematical relationships between edge angles and lens characteristics to determine correction magnitudes.
Data Source
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AI summary
A method performed by a display device including a lenticular lens is provided. The method includes obtaining a target image, identifying a predefined slanted angle of the lenticular lens, identifying, in the target image, at least one area including at least one edge having a slanted angle of which similarity to the slanted angle of the lenticular lens is within a preset range, selecting a plurality of sub-pixels of a same row as a first sub-pixel included in the identified at least one area, and allocating a first combination value to an output value of each of the plurality of sub-pixels, the first combination value being obtained by combining values of the plurality of sub-pixels.