Stereoscopic Display OSD Superimposition via Eye-Segmented Processing
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Solution Overview
Problem
Existing display devices struggle to effectively superimpose and display OSD images on stereoscopic images, as the methods for processing plane images do not apply to stereoscopic content, leading to inefficiencies in memory usage and parallax adjustment.
Innovation Solution
A display device and control method that output and process image data for both eyes, allowing different image data to be arranged and combined with stereoscopic input images, enabling the display of OSD images as both plane and stereoscopic images, with adjustable parallax, using an image output unit, memory, image processing unit, and display unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If plane image processing methods are used for stereoscopic images, then the processing method is simple, but the memory usage is inefficient and parallax adjustment is not possible
Solution Approach 1:
The patent divides the stereoscopic image into separate left eye and right eye image data, allowing independent processing and memory allocation for each eye's image data. This segmentation enables efficient memory usage by storing only the necessary image data for each eye rather than duplicating entire plane image data structures.
Solution Approach 2:
The patent transitions from two-dimensional plane image processing to three-dimensional stereoscopic image processing by adding depth information and parallax control. The system processes image data with explicit left eye and right eye separation, enabling parallax adjustment in the depth dimension while maintaining memory efficiency through targeted data storage.
2Ease of manufacture
If plane image superimposition is used for stereoscopic images, then the implementation is straightforward, but the display effectiveness is reduced
Solution Approach 1:
The patent segments the OSD image display into separate processing paths for left eye and right eye images, allowing the OSD to be independently positioned and displayed in each eye's view. This segmentation maintains implementation simplicity while significantly improving display effectiveness by preserving stereoscopic depth information.
Solution Approach 2:
The patent applies different processing characteristics to different parts of the image data - specifically treating left eye and right eye image data differently to achieve proper OSD positioning. The system maintains local quality by preserving the stereoscopic properties of specific regions while implementing OSD superimposition only where needed.
3Quantity of substance
If separate image data storage is used for left and right eyes, then memory efficiency is improved, but the processing complexity increases
Solution Approach 1:
The patent implements segmentation by separating image data into distinct left eye and right eye datasets, which improves memory efficiency by storing only necessary data. The processing complexity is managed through automated data management routines that handle the segmentation automatically without requiring complex manual processing.
Solution Approach 2:
The system performs self-service by automatically managing the separation and processing of left and right eye image data through integrated control routines. The image processing unit automatically identifies and processes the appropriate eye data without requiring external intervention, reducing the operational complexity despite the increased data structure complexity.
Data Source
AI summary
A projector displays, together with an input image, an OSD image different from the input image. The projector includes an image output unit configured to output image data of an image for the left eye and image data of an image for the right eye, an image processing unit configured to read out a different image data from a RAM, apply, to the image data of the image for the left eye, processing for arranging the different image data in a position for the left eye and combining the different image data with the image data of the image for the left eye, and apply, to the image data of the image for the right eye, processing for arranging the different image data in a position for the right eye and combining the different image data with the image data of the image for the right eye.