Display Image Sticking Detection via Fourier Spectrum Analysis
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Solution Overview
Problem
Current methods for detecting image sticking on liquid crystal displays rely heavily on subjective human judgment, which is inefficient and prone to errors, lacking an objective evaluation of image sticking grades.
Innovation Solution
A system and method that divide a display image into identical sections, draw sectional chess board images, perform Fourier transformations, and calculate ratios of spectrum energy values to objectively assess image sticking, reducing subjectivity and improving evaluation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human eyes are used to judge image sticking, then subjective evaluation can be performed, but the detection efficiency is low and subjectivity factors are high
Solution Approach 1:
The patent replaces the mechanical human visual inspection system with an automated image processing system that captures display images, divides them into sections, performs Fourier transforms, and calculates spectrum energy ratios to objectively evaluate image sticking grades, thereby eliminating subjectivity and improving detection efficiency
Solution Approach 2:
The patent introduces Fourier transform and spectrum energy ratio calculations as intermediary processes between the captured display image and the final image sticking evaluation, enabling objective quantification of image sticking grades through mathematical analysis rather than direct human observation
2Measurement precision
If full display image is processed at once, then comprehensive evaluation is achieved, but processing time and computational complexity increase
Solution Approach 1:
The patent divides the display image into multiple identical sections (e.g., 9 sections) and processes each section independently through Fourier transform and spectrum energy ratio calculation, then aggregates the results to determine the overall image sticking grade, thereby reducing processing time while maintaining comprehensive evaluation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables objective and efficient evaluation of local image sticking grades on displays, reducing labor costs and time, and minimizing the influence of subjective factors in image sticking assessments.
Implementation Method 1
Fourier transforming the sectional chess board images and each of the sections of the display image respectively, obtaining characteristic frequencies of image sticking on each of the sections and first spectrum energy values in each of spectrum structures correspondingly
Data Source
AI summary
The disclosure discloses a system and a method for detecting image sticking on a display. The method includes dividing a display image on the display equally into at least two identical sections, one of the at least two sections is as a reference section, drawing sectional chess board images according to a size of the reference section, Fourier transforming the sectional chess board images and each of the sections of the display image respectively, obtaining characteristic frequencies of image sticking on each of the sections and first spectrum energy values in each of spectrum structures correspondingly, additionally obtaining second spectrum energy values of reference frequencies of each of the sections in frequency domain structures, obtaining ratios of the first spectrum energy values to the second spectrum energy values corresponding to each of the sections.


