Splicing Display Image Quality Adjustment via Reference Picture Analysis
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Solution Overview
Problem
The existing technologies for splicing multiple small-sized displays into a large-sized display often result in poor display effects, especially at the joint positions, due to differences in display effects, which complicates and inefficiencies the image quality adjustment process.
Innovation Solution
An image quality adjustment method and apparatus that sends reference pictures to a splicing display, generates image quality adjustment parameters based on these reference pictures and photos of the entire display area, and adjusts the image quality of each display simultaneously to improve the overall display effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple small-sized displays are spliced into a large-sized display, then the display area is increased, but the display effect deteriorates due to differences in image quality among the small-sized displays
Solution Approach 1:
The patent applies local quality by sending different reference pictures to different displays in the splicing arrangement. Each display receives reference pictures tailored to its specific characteristics, allowing for localized image quality adjustment that accounts for variations among individual displays while maintaining overall consistency across the spliced large-sized display.
2Manufacturing precision
If image quality adjustment is performed separately for each display, then the image quality of each display can be optimized, but the adjustment efficiency decreases
Solution Approach 1:
The patent merges the image quality adjustment process for multiple displays into a unified operation. By sending reference pictures to all displays simultaneously and processing them together to generate adjustment parameters, the system achieves coordinated optimization of image quality across all spliced displays in a single adjustment cycle, thereby improving efficiency while maintaining precision.
Data Source
AI summary
A method includes: receiving a first event, where the first event is used to trigger image quality adjustment of a splicing display; sending N reference pictures including a first reference picture to the splicing display in response to the first event; receiving a first photo obtained by photographing an entire display area of the splicing display when the splicing display displays the first reference picture in full screen as a whole; and generating a first image quality adjustment parameter and a second image quality adjustment parameter based on the first reference picture and the first photo, where the first image quality adjustment parameter and the second image quality adjustment parameter is used to adjust image quality of the first and second display respectively.