Stereoscopic Video Cross-Talk Cancellation via Adaptive Brightness Modification
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Solution Overview
Problem
Field-sequential stereoscopic display methods suffer from image cross-talk and ghosting due to the slow response time of display technologies like LCDs and PDPs, which impede proper stereoscopic image reproduction by causing incomplete separation of left and right images, leading to reduced sharpness and depth perception.
Innovation Solution
A method for processing video data that involves applying a brightness modification function to selectively increase low brightness values and attenuate high brightness values, using offset or attenuation values to avoid negative brightness values and ensure no values exceed maximum brightness, while adaptively adjusting these values based on the current image frame's brightness to optimize cross-talk cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field-sequential stereoscopic display method is used, then full resolution in 3D is maintained, but image cross-talk and ghosting occur due to slow display response time
Solution Approach 1:
The patent applies preliminary action by calculating and subtracting ghost image components from the current frame before display. The processing unit computes expected ghost images based on previous frame data and display response characteristics, then removes these predicted artifacts in advance, preventing them from appearing in the final displayed image.
Solution Approach 2:
The patent uses copying by creating a replica of the previous frame data to generate the ghost image component. This copied frame data is then processed and subtracted from the current frame, allowing the original image data to be preserved while removing only the unwanted ghosting artifacts.
2Measurement precision
If brightness modification function is applied to reduce cross-talk, then image quality in low brightness regions improves, but global brightness loss may occur
Solution Approach 1:
The patent applies local quality by selectively adjusting brightness only in regions where cross-talk is detected. The processing unit identifies specific areas with cross-talk artifacts and applies brightness modification functions locally to those regions, rather than uniformly adjusting the entire image, thus preserving global brightness while improving local image quality.
Solution Approach 2:
The patent uses parameter changes by dynamically adjusting brightness parameters based on detected cross-talk characteristics. The system modifies brightness values adaptively, changing them only where and by the extent necessary to eliminate cross-talk, thereby maintaining overall image brightness while improving quality in affected regions.
Data Source
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AI summary
A method for processing video data comprising a sequence of successive image frames is disclosed. In accordance with one example of the invention the method comprises: receiving an image frame from a video data source; applying a brightness modification function on the image frame; correcting the brightness of the image frame by subtracting and/or adding a ghost image due to cross-talk from a preceding image frame to the current image frame and/or from the current image frame to a subsequent image frame. The brightness modification function includes a selective increase of low brightness values and/or a selective attenuation of high brightness values by respective offset or attenuation values.