3D Image Depth Adjustment via Parallax Gradient Modification
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Solution Overview
Problem
Conventional 3D image display technologies struggle to adjust image depth effectively, resulting in either overly strong or weak 3D effects when viewed on different-sized displays, and existing methods for adjusting disparity values are computationally complex and not suited for real-time applications.
Innovation Solution
A method and apparatus that measure and adjust the parallax gradient values of 3D images to modify the depth by calculating a parallax modification value based on user settings, allowing for precise movement of image pixels to adjust the 3D effect, enabling the adjustment of relative distances among objects in the image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If block matching method is used to calculate image parallax, then measurement precision is improved, but device complexity and computation time increase significantly
Solution Approach 1:
The patent divides the image into multiple blocks and calculates parallax for each block separately. This segmentation approach allows the use of simpler correlation coefficient methods for each small block rather than performing complex full-image block matching, reducing overall computational complexity while maintaining measurement precision through localized analysis.
Solution Approach 2:
The patent performs block matching only on selected key blocks or representative blocks rather than all blocks in the image. This partial action approach maintains sufficient measurement precision for depth adjustment while significantly reducing computation time and complexity compared to exhaustive block matching of the entire image.
2Ease of operation
If whole image shifting is used to adjust depth, then ease of operation is improved, but manufacturing precision deteriorates because relative distances among objects cannot be changed
Solution Approach 1:
The patent applies different parallax adjustment values to different blocks or regions of the image rather than uniformly shifting the entire image. This local quality approach allows precise control of relative distances among objects in different depth planes while maintaining ease of operation through automated block-based processing. Each block can be adjusted independently to achieve accurate 3D depth effects.
3Measurement precision
If large parallax is used for small monitor display, then 3D effect visibility is improved, but adaptability deteriorates when displayed on large screens causing overly strong 3D effect
Solution Approach 1:
The patent dynamically adjusts parallax values based on the display device size and viewing conditions. The system calculates appropriate parallax modification values that adapt to different screen sizes, ensuring optimal 3D effect visibility on small monitors while preventing overly strong effects on large screens. This dynamic adjustment maintains versatility across different display configurations.
Solution Approach 2:
The patent changes the parallax parameter values according to display characteristics. By modifying the parallax values used in block matching and depth calculation based on the target display size, the system achieves consistent 3D effect quality across different screen sizes, from small portable displays to large television screens.
Data Source
AI summary
A method for adjusting image depth includes receiving a three-dimension (3D) image including a first image and a second image. The method includes measuring the 3D image to generate a first parallax gradient value, calculating a second parallax gradient value according to the first parallax gradient value and a user setting value, calculating a parallax modification value, and moving the first image according to the corresponding parallax modification value so as to generate a adjusted first image for replacing the first image.