Dual Sub-Pixel Image Processing for Halo Reduction
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Solution Overview
Problem
Liquid crystal display screens face challenges in achieving ultra-high contrast and energy conservation, with existing technologies struggling to finely adjust brightness and reduce halo phenomena caused by differences in gray levels between sub-pixels.
Innovation Solution
The implementation of a dual sub-panel structure with a dimming sub-panel and a display sub-panel, where each first sub-pixel corresponds to multiple second sub-pixels, using an image data analysis model to determine actual and target light transmittances and compensation gray levels, thereby adjusting brightness and reducing halo effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a dual sub-panel structure with dimming sub-panel and display sub-panel is used, then ultra-high dynamic contrast is achieved, but device complexity increases
Solution Approach 1:
The display panel is segmented into two independent sub-panels: a dimming sub-panel for controlling backlight intensity and a display sub-panel for color and image rendering. Each sub-panel has its own pixel structure and control mechanism, allowing independent optimization of contrast and color accuracy without compromising the other.
Solution Approach 2:
The dimming sub-panel acts as an intermediary layer between the backlight source and the display sub-panel. It modulates the light intensity before it reaches the display sub-panel, enabling precise control over the actual light transmittance and achieving ultra-high dynamic contrast ratios exceeding 100,000:1.
2Manufacturing precision
If compensation algorithms are applied to reduce halo phenomena, then image quality is improved, but processing time and computational complexity increase
Solution Approach 1:
The system pre-calculates and stores compensation parameters in lookup tables during the manufacturing or initialization phase. When displaying images, the compensation algorithm quickly retrieves pre-computed values based on the current gray level settings, avoiding real-time complex calculations and minimizing processing time while still correcting halo effects.
Solution Approach 2:
The compensation mechanism uses feedback from the actual light transmittance measurements to adjust the gray level values of the display sub-panel. By continuously monitoring the light output and comparing it with target values, the system dynamically compensates for halo phenomena and maintains optimal image quality.
Data Source
AI summary
An image processing method includes: constructing an image data analysis model; obtaining a first gray level of at least one of a plurality of first sub-pixels, and second gray levels of at least two second sub-pixels corresponding to each of the at least one first sub-pixel; obtaining a first light transmittance corresponding to the first gray level of the at least one first sub-pixel, and second light transmittances corresponding to the second gray levels of the at least two second sub-pixels corresponding to each of the at least one first sub-pixel, and determining actual light transmittances corresponding to the second gray levels of the at least two second sub-pixels respectively according to the image data analysis model; and obtaining target light transmittances corresponding to the second gray levels of the at least two second sub-pixels respectively, and determining compensation gray levels corresponding to the at least two second sub-pixels according to the actual light transmittances corresponding to the second gray levels of the at least two second sub-pixels and the target light transmittances corresponding thereto.