Display Screen Inner Hole Image Processing
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Solution Overview
Problem
Conventional screen inner hole boring techniques fail to properly display images within the screen inner hole, often resulting in missing key information due to improper image rendering.
Innovation Solution
An image processing method that determines the presence of key information within the screen inner hole area by calculating pixel variance and mean values, using bilinear or Lanczos interpolation to ensure complete and harmonious image display when key information is present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If screen inner hole boring technique is used to increase screen ratio, then screen ratio is improved, but image display quality deteriorates with missing key information
Solution Approach 1:
The patent performs preliminary analysis of the inner hole area and peripheral area to detect key information before final image rendering. By calculating pixel variance and comparing it against thresholds, the system proactively identifies important content that would otherwise be lost in the screen inner hole, enabling pre-processing decisions to preserve this information.
Solution Approach 2:
The patent introduces an intermediary processing layer between the original image and the final display. This intermediary system uses pixel variance analysis and comparative algorithms to detect key information in the inner hole area, then applies appropriate processing (such as copying from peripheral areas or adjusting rendering) to ensure key information is preserved while maintaining the screen inner hole design.
2Shape
If screen inner hole boring technique is used, then aesthetic design is improved, but image completeness deteriorates
Solution Approach 1:
The system performs preliminary detection of key information in the inner hole area before final image rendering. By analyzing pixel variance and comparing inner hole area with peripheral area, the system proactively identifies important content that needs to be preserved, enabling pre-processing decisions that maintain image completeness while preserving aesthetic design.
Solution Approach 2:
The patent implements a feedback mechanism where the system analyzes the inner hole area, detects key information through pixel variance comparison, and then adjusts the image rendering accordingly. This feedback loop ensures that key information is identified and preserved, allowing the system to maintain both aesthetic design through screen inner hole and image completeness through adaptive processing.
3Device complexity
If conventional image rendering is used in screen inner hole, then device complexity is reduced, but image quality deteriorates with strange images appearing
Solution Approach 1:
The patent performs preliminary analysis of the inner hole area and peripheral area to detect key information before final image rendering. By calculating pixel variance and comparing it against thresholds, the system proactively identifies important content that would otherwise be lost in the screen inner hole, enabling pre-processing decisions to preserve this information.
Solution Approach 2:
The patent introduces an intermediary processing layer between the original image and the final display. This intermediary system uses pixel variance analysis and comparative algorithms to detect key information in the inner hole area, then applies appropriate processing (such as copying from peripheral areas or adjusting rendering) to ensure key information is preserved while maintaining the screen inner hole design.
Data Source
AI summary
An image processing method for a screen inner hole of a display device is provided, including steps as follows: determining coordinates at a center and a radius r of the screen inner hole, and drawing a circle with the radius r to obtain a pixel range of an inner hole area, and calculating a pixel variance of the pixel range; analyzing an image configuration in the inner hole area and a peripheral area around the inner hole area, and determining whether key information is in the inner hole area; locating and determining a range of the inner hole area and a range of the peripheral area; and separately calculating, in the inner hole area and in the peripheral area, a pixel mean and a pixel variance.


