Television Over-Scanning Detection and Adjustment via Test Images
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The convergence of computer and television displays is hindered by differences in scanning techniques and connector standards, leading to issues like over-scanning, where images are cropped or truncated, and users lack the knowledge or tools to correct these issues, resulting in distorted or blank screens.
Innovation Solution
The implementation of User-Initiated Video Property Adjustment (UIVPA) allows users to detect and correct over-scanning on television sets by displaying test images and receiving user input to adjust image scaling, enabling intuitive and user-friendly correction of image display settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If over-scanning is applied to hide image edges and avoid black borders on television sets, then the visual appearance is improved, but the image becomes cropped or truncated
Solution Approach 1:
The system performs preliminary detection by displaying a test image with visible edges before normal operation. Based on user feedback about whether edges are visible, the system pre-adjusts the scanning parameters to compensate for over-scanning, ensuring accurate image display without requiring manual intervention during actual use.
2Device complexity
If automatic adjustment using EDID information is implemented, then device complexity is reduced, but reliability fails when EDID information is unavailable or incompatible
Solution Approach 1:
The system enables users to self-diagnose and self-correct over-scanning issues through an interactive test image interface. Users can directly observe whether image edges are visible and provide feedback, allowing the system to automatically adjust scanning parameters without requiring technical knowledge or external intervention.
Solution Approach 2:
The system implements a feedback loop where users observe the test image display and indicate whether edges are visible. This feedback is used to dynamically adjust the scanning parameters, creating a closed-loop control system that adapts to specific television characteristics regardless of EDID compatibility.
3Adaptability or versatility
If users are provided with manual adjustment tools, then adaptability is improved, but ease of operation deteriorates due to technical knowledge requirements
Solution Approach 1:
The system empowers users to independently detect and correct over-scanning issues through a simplified interactive interface. Users simply observe whether test image edges are visible and provide binary feedback, eliminating the need to understand complex scanning parameters or perform manual adjustments.
Solution Approach 2:
The test image employs distinct visual characteristics including visible edges that stand out against the image content. This visual differentiation makes it easy for users to determine whether over-scanning is occurring without requiring technical knowledge of display parameters.
4Measurement precision
If test images with visible edges are displayed for detection, then measurement precision is improved, but loss of information occurs in the actual displayed content
Solution Approach 1:
The system separates the detection function from the display function. A specialized test image with deliberately visible edges is displayed temporarily for detection purposes only, while the actual content display uses proper scanning parameters. This segmentation allows accurate measurement without permanently affecting content integrity.
Solution Approach 2:
The test image with visible edges is displayed preliminarily before normal operation to detect over-scanning characteristics. Once detection is complete and parameters are adjusted, the system returns to normal content display without the artificial edge markers, preserving information integrity for actual usage.
Data Source
AI summary
A method for adjusting images displayed on a television set, the television set being coupled to receive image information from an image-generating electronic device. The method includes displaying on the television set, using test image information from the image-generating electronic device, a test image. The method also includes receiving, from a human operator, user input. The method further includes employing the user input to form scaled test image information that corresponds to a scaled test image, the scaled test image representing a scaled version of the test image. The method yet also includes displaying on the television set, using the scaled test image information, the scaled test image on the television set in lieu of the test image.