3D Image Processing for Ghost Effect Reduction
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Solution Overview
Problem
Existing 3D display methods often generate ghost images due to incorrect shuttering timing or poor polarization, causing users to see objects with two edges, which results in a ghost effect.
Innovation Solution
A 3D image processing method that involves generating a blurred first visual angle image and an enhanced second visual angle image, where the blurred image loses edge data while retaining color data, and the enhanced image reinforces edge data, ensuring that the user sees only one edge of an object by displaying these processed images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional 3D display methods (polarization or shuttering) are used to display left and right visual angle images, then 3D effect is achieved, but ghost images occur due to wrong shuttering timing or poor polarization ability
Solution Approach 1:
The patent applies preliminary action by preprocessing the left visual angle image before display. Specifically, it detects edge pixels in the original left visual angle image and replaces them with corresponding pixels from the right visual angle image before the images are displayed. This advance modification prevents the ghost effect from occurring in the first place, rather than attempting to correct it after display.
Solution Approach 2:
The patent extracts the problematic edge data from the left visual angle image that causes ghosting. By identifying edge pixels through gradient calculation and selectively replacing only these edge portions with data from the right visual angle image, the patent removes the harmful edge information that would otherwise create ghost images while preserving the rest of the image quality.
2Manufacturing precision
If edge data is preserved in both left and right visual angle images, then image detail quality is maintained, but users see two edges of objects creating ghost effect
Solution Approach 1:
The patent applies local quality by treating different regions of the image differently. Instead of uniformly processing the entire left visual angle image, it specifically identifies and modifies only the edge pixel regions through gradient detection. The edge portions are replaced with data from the right visual angle image, while non-edge regions remain unchanged, thus maintaining local image quality where needed and eliminating ghosting only where necessary.
3Manufacturing precision
If ghost effect is reduced by traditional methods, then image clarity improves, but brightness is reduced and hardware complexity increases
Solution Approach 1:
The patent uses copying by taking pixel data from the right visual angle image and copying it to replace edge pixels in the left visual angle image. This copying approach allows the system to eliminate ghosting effects without requiring additional hardware components or complex processing, thereby maintaining display brightness and avoiding increased hardware complexity while still achieving improved image clarity.
Data Source
AI summary
A 3D image processing method includes providing image data, generating a first visual angle image and a second visual angle image according to the 3D image data, blurring the first visual angle image, enhancing the second visual angle image, and displaying the blurred first visual angle image and the enhanced second visual angle image. The 3D image processing method reduces a ghost effect when watching 3D images.