Crosstalk Correction Processing With Residual Cost Evaluation
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Solution Overview
Problem
Existing methods for inhibiting crosstalk in stereoscopic and multi-view images face limitations due to signal value clipping beyond saturation constraints, leading to incomplete correction and noticeable image deterioration.
Innovation Solution
An information processing apparatus and method that performs multiple stages of crosstalk correction processing, including inverse correction, compression, and blurring, while evaluating correction residuals and determining ranges and amounts based on cost evaluation to minimize image quality degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If inverse correction processing is performed to reduce crosstalk, then crosstalk inhibition is improved, but signal value clipping occurs beyond saturation constraints leading to incomplete correction
Solution Approach 1:
The correction processing unit divides the correction process into multiple stages: inverse correction processing followed by additional correction processing. This segmentation allows the system to address signal clipping issues by applying different correction strategies to different parts of the correction process, thereby improving overall correction precision while maintaining crosstalk inhibition.
Solution Approach 2:
The system performs preliminary inverse correction processing to reduce crosstalk, then evaluates correction residuals to identify regions requiring additional correction. This preliminary action followed by targeted additional correction ensures that signal clipping is minimized while maintaining effective crosstalk inhibition.
2Object-affected harmful factors
If inverse correction processing is performed to reduce crosstalk, then crosstalk inhibition is improved, but image quality deteriorates due to signal clipping
Solution Approach 1:
The cost evaluation unit evaluates correction residuals after inverse correction processing to determine whether additional correction is needed. This feedback mechanism allows the system to adjust the correction process dynamically, applying additional correction only where necessary to prevent signal clipping and maintain image quality while still achieving effective crosstalk inhibition.
Solution Approach 2:
The system performs preliminary inverse correction processing to reduce crosstalk, then evaluates correction residuals to identify regions requiring additional correction. This preliminary action followed by targeted additional correction ensures that signal clipping is minimized while maintaining effective crosstalk inhibition.
3Manufacturing precision
If multiple correction processing stages are performed, then correction precision is improved, but processing complexity increases
Solution Approach 1:
The correction processing unit performs additional correction processing only in regions where correction residuals exceed a threshold, rather than applying correction uniformly across the entire image. This partial action approach maintains high correction precision in critical areas while minimizing overall processing complexity.
Solution Approach 2:
The correction processing unit divides the correction process into multiple stages: inverse correction processing followed by additional correction processing. This segmentation allows the system to address signal clipping issues by applying different correction strategies to different parts of the correction process, thereby improving overall correction precision while maintaining crosstalk inhibition.
Data Source
AI summary
An information processing apparatus includes a cost evaluation unit and a correction processing unit. The cost evaluation unit evaluates a correction residual after crosstalk correction processing as a cost. The correction processing unit performs a plurality of different pieces of crosstalk correction processing while determining a correction range and a correction amount based on the cost.


