Multi-View Image Depth Correction for OSD Regions
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Solution Overview
Problem
Non-glass type stereoscopic display systems face challenges in accurately extracting depth information from on-screen display (OSD) regions, leading to image distortion due to the presence of OSD information, which complicates the rendering of multi-view images.
Innovation Solution
A multi-view image processing apparatus and method that includes a depth extractor to extract depth information, a depth corrector to correct the depth of OSD regions based on OSD mask information, and a rendering device to render multi-view images with corrected depth, preventing image distortion by setting appropriate depth values for OSD and remaining regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If depth information is extracted from a stereoscopic image containing OSD information, then multi-view images can be rendered, but the depth information in the OSD region becomes inaccurate causing image distortion
Solution Approach 1:
The image is divided into two distinct regions: OSD region and non-OSD region. The OSD region is identified using OSD mask information, and depth correction is applied selectively to this region while leaving the non-OSD region unchanged. This segmentation allows the system to process different regions with different depth handling strategies, resolving the contradiction between rendering capability and depth accuracy.
Solution Approach 2:
Different depth values are applied to different regions of the image. Specifically, a first depth value is assigned to the OSD region while a second depth value (different from the first) is assigned to the remaining regions. This local differentiation ensures that OSD text remains clearly visible and undistorted while preserving the stereoscopic effect in the main image content.
2Device complexity
If depth information is extracted using conventional methods, then the processing is simple, but the OSD region depth extraction is inaccurate leading to distorted displayed OSD image
Solution Approach 1:
OSD mask information is generated and applied before depth correction to pre-identify the OSD region. This preliminary action allows the system to know in advance which regions require special depth handling, enabling accurate depth extraction for OSD regions without complicating the overall processing flow.
Solution Approach 2:
OSD mask information serves as an intermediary element that facilitates accurate depth extraction. The mask acts as a mediator between the input stereoscopic image and the depth extraction process, guiding the system to treat OSD regions differently and thereby improving measurement precision without significantly increasing device complexity.
3Ease of operation
If a non-glass type system displays multi-view images, then users can view 3D images without glasses, but accurate depth extraction from OSD regions becomes difficult causing rendering errors
Solution Approach 1:
The depth parameter is changed specifically for the OSD region by assigning a first depth value that differs from the second depth value used for other regions. This parameter change ensures that OSD text is rendered with appropriate depth characteristics for glasses-free viewing while maintaining reliability and preventing rendering errors in the OSD region.
Data Source
AI summary
A multi view image display apparatus is disclosed. A multi view image processing apparatus includes a depth extractor which is configured to extract depth information of a three-dimensional (3D) input image, a depth corrector which is configured to correct a depth of an on screen display (OSD) region in the 3D input image based on the extracted depth information and OSD mask information which corresponds to the OSD region in the 3D input image, and a rendering device which is configured to render multi view images using the 3D input image with the corrected depth.