Chrominance Visual Angle Correction via Dynamic Gray Scale Adjustment
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Solution Overview
Problem
Existing display technologies face challenges in improving chrominance visual angle without compromising other performance aspects, such as brightness and process complexity, making it difficult to achieve wide visual angles and specific viewing requirements.
Innovation Solution
A method that involves acquiring brightness data at vertical and squint visual angles, generating a search database, splitting pixel gray scales into high and low gray scale combinations, and calculating the brightness of these combinations to match vertical vision brightness, thereby improving chrominance visual angle without altering vertical performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If polarizer treatment or RGB pixel array partitioning is used to improve chrominance visual angle, then chrominance visual angle is improved, but brightness performance and process complexity deteriorate
Solution Approach 1:
The patent changes the gray scale parameters of primary color pixels dynamically based on viewing angle. By detecting the visual angle and adjusting gray scale values accordingly, the system compensates for color deviation without requiring physical modifications to the display panel structure, thereby avoiding brightness loss and process complexity increases
Solution Approach 2:
The patent implements dynamic adjustment of pixel gray scales based on real-time detection of viewing angle. The system continuously adapts the display parameters to match the user's viewing position, transforming a static display into a dynamically adaptive one that maintains color accuracy across different angles without sacrificing brightness
2Adaptability or versatility
If polarizer treatment or RGB pixel array partitioning is used to improve chrominance visual angle, then chrominance visual angle is improved, but manufacturing complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical or physical modifications (such as polarizer treatment and pixel array partitioning) with a software-based gray scale adjustment system. By using algorithms to calculate and apply gray scale corrections based on viewing angle, the system achieves chrominance visual angle improvement without complicated manufacturing processes
Solution Approach 2:
The patent creates a virtual correction model that simulates the effect of physical modifications through software. By calculating equivalent gray scale adjustments that replicate the color correction效果 of polarizer treatment or pixel partitioning, the system achieves the same functional improvement with simpler implementation
3Adaptability or versatility
If traditional display methods are used, then manufacturing is simple, but chrominance visual angle is limited and cannot meet large visual angle requirements
Solution Approach 1:
The patent performs preliminary calculation and storage of gray scale correction values for different viewing angles. By pre-computing the correction data and storing it in lookup tables, the system prepares the correction information in advance, enabling real-time angle-based adjustment without complex real-time calculations, thus maintaining manufacturing simplicity while achieving wide visual angle performance
Solution Approach 2:
The patent divides the viewing angle range into multiple discrete segments or zones, each with pre-calculated gray scale correction values. By segmenting the continuous viewing angle space into manageable discrete levels, the system simplifies the correction process while covering a wide visual angle range, balancing performance improvement with manufacturing ease
Data Source
AI summary
The present application provides a chrominance visual angle correction method for a display, and an intelligent terminal and a storage medium. The method comprises: acquiring brightness data of different primary colors varying with the gray scale at a vertical visual angle and a squint visual angle, and generating a search database; splitting, according to the search database and a preset rule, a pixel gray scale of the display into a plurality of high and low gray scale combinations composed of high gray scales and low gray scales; calculating a scale of brightness of the plurality of high and low gray scale combinations, and acquiring a scale of brightness of high and low gray scale combination closest to a scale of vertical vision brightness as a primary color pixel gray scale.

