Luminance Background Discrimination in Display Sub-pixel Arrays
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Solution Overview
Problem
Existing image display technologies inadequately differentiate between high-luminance and low-luminance backgrounds, relying solely on grayscale values without effectively recognizing and processing these backgrounds for improved image display and processing.
Innovation Solution
A method and apparatus that analyze grayscale values for sub-pixels in a matrix to determine high-luminance backgrounds by identifying pixels with values greater than a specified threshold and variance, allowing for adjustable parameters to refine the discrimination of background regions into high-luminance, low-luminance, and transitional areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If different luminance backgrounds are merely represented physically by different gray scale values, then the representation is simple, but the recognition and processing capability is insufficient
Solution Approach 1:
The patent segments the background recognition process into multiple components: gray scale value analysis, variance calculation, and threshold comparison. This segmentation enables precise identification of high-luminance backgrounds by evaluating multiple parameters rather than relying on a single gray scale value, thereby resolving the contradiction between simple representation and precise recognition.
Solution Approach 2:
The patent introduces additional parameters (variance of gray scale values, threshold values) to enhance background recognition. By changing from a single-parameter (gray scale) system to a multi-parameter system including variance and threshold comparisons, the patent achieves more precise background discrimination while maintaining manageable complexity.
2Measurement precision
If a strict discrimination condition is applied to identify high-luminance backgrounds, then the precision of background identification is improved, but the range of identified high-luminance regions may be reduced
Solution Approach 1:
The patent implements dynamic threshold adjustment based on local image characteristics. The threshold and variance parameters are not fixed but adapt to the specific image content, allowing the system to maintain high discrimination precision while accurately identifying the appropriate extent of high-luminance regions. This dynamic approach resolves the contradiction between precision and coverage area.
3Measurement precision
If multiple parameters (gray scale value, variance, threshold) are used for background discrimination, then the discrimination precision is improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary calculations of variance and threshold values before final background classification. By pre-computing these parameters and organizing the processing steps in advance, the system reduces the computational burden during actual background discrimination, thereby managing processing complexity while maintaining high precision through multi-parameter analysis.
Data Source
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AI summary
The present disclosure relates to a method and an apparatus for discriminating luminance backgrounds for images and a display apparatus thereof. The method comprises the steps of: receiving image information that is to be discriminated, the image information comprising gray scale values for respective sub-pixels in each pixel; forming the gray scale values for specific sub-pixels of pixels within the s±mth row and the t±nth column in the image information, having a pixel of the sth row, tth column as the center, into a digit group, and arranging the digit group in order, wherein s, m, t and n are natural numbers; if the gray scale values for N greater specific sub-pixels in the digit group are all greater than a given gray scale value, and a variance is less than or equal to a specified threshold, it is determined that the specific sub-pixels within the s±mth row and the t±nth column are a high-luminance background region; otherwise, it is determined that the specific sub-pixels within the s±mth row and the t±nth column are a non-high-luminance background region. By means of the method of the present disclosure, an image region can be discriminated as a high-luminance region or a non-high-luminance region.