Multi-view Display Rendering Spatial Filtering Crosstalk

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Solution Overview

Problem

Multi-view displays face issues with image overlap leading to ghost images and limited view-directions causing aliasing effects, which existing technologies like lenticular displays struggle to fully address.

Innovation Solution

A method involving view-dependent image data processing, where a view-dependent intensity function is determined and spatially filtered to generate sub-images for each view-direction, using techniques like low-pass, high-pass, or band-pass filtering to reduce crosstalk and aliasing, allowing for robust implementation across various display apparatuses.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If images are rendered for multiple view-directions in a lenticular display, then 3D stereoscopic effect is achieved, but image overlap occurs causing ghost images and crosstalk

Engineering Contradiction:

Improvemulti-view capabilityVSAvoidcrosstalk and ghost images

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies spatial filtering to the view-dependent intensity function before sampling to generate sub-images. This preliminary filtering action prevents crosstalk and ghost images by removing high-frequency components that would otherwise cause interference between adjacent view-directions, while still maintaining the multi-view capability of the display

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent modifies the intensity function in the view-dependent coordinate domain by applying spatial filtering operations. This changes the frequency distribution of the intensity values, suppressing high-frequency components that cause crosstalk while preserving the essential view-direction information needed for 3D stereoscopic effect

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If the number of view-directions is limited to eight or nine, then device complexity is reduced, but aliasing effects occur in some view-directions

Engineering Contradiction:

Improvenumber of view-directionsVSAvoidview-direction accuracy

Core Design Contradiction:

Device complexityVSManufacturing precision

Solution Approach 1:

The patent applies spatial filtering to the intensity function before sampling to generate sub-images for limited view-directions. This preliminary filtering prevents aliasing artifacts by removing high-frequency components that would otherwise cause distortion when rendering images for a small number of discrete view-directions

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms the intensity function in the view-dependent coordinate domain through spatial filtering, which modifies the frequency characteristics to eliminate aliasing effects. This allows accurate rendering with limited view-directions by pre-processing the intensity data to remove components that would cause aliasing during sampling

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9532038B2Rendering of image data for multi-view display

Publication Date: 2016.12.27 LEIA INC

AI summary

The invention pertains to rendering of image data for a multi-view display, such as image data for a lenticular auto-stereoscopic display. The method comprising the steps of providing view-dependent image data for an image, determining a view-dependent intensity function, or luminance function, for the image, applying a spatial filtering to a view-dependent coordinate of the intensity function, the spatial filtering being such as a low-pass filter, a high-pass filter or a combination of a low-pass and a high-pass filter, and sampling the view-dependent intensity function to a plurality of sub-images, each sub-image being associated with a view-direction of the image.