Picture Adjusting Method for Display Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display devices struggle to maintain consistent brightness between multiple images displayed in a picture by picture or picture in picture manner, leading to noticeable visual differences for users.
Innovation Solution
A method and system that measure original parameters for various color patterns in each image, calculate gain factors, and apply offset values to adjust the parameters, reducing brightness differences by multiplying with specific gain factors to achieve synchronized brightness levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same gamma curve is used to adjust brightness for multiple pictures, then the processing method is simple, but the brightness difference between pictures becomes noticeable to users
Solution Approach 1:
The patent applies different gamma correction parameters to different pictures based on their specific characteristics. Instead of using a universal gamma curve for all pictures, the system measures original parameters (brightness, contrast, color distribution) for each picture and calculates picture-specific gamma correction parameters. This localizes the brightness adjustment to match the unique characteristics of each picture, eliminating noticeable brightness differences while maintaining processing simplicity.
Solution Approach 2:
The patent dynamically changes the gamma correction parameters based on measured original parameters of each picture. The system calculates gamma correction parameters by adjusting the gamma value and offset based on the picture's specific brightness, contrast, and color distribution characteristics. This parameter adaptation ensures that each picture receives customized brightness adjustment, resolving the brightness difference issue while keeping the overall process simple.
2Object-affected harmful factors
If picture-specific gamma correction parameters are calculated, then brightness consistency between pictures is improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary measurement of original parameters (brightness, contrast, color distribution) for each picture before applying gamma correction. By measuring these parameters in advance and storing them as reference data, the system can quickly retrieve and use them during the gamma correction process without repeating complex measurements. This preliminary action reduces real-time processing complexity while maintaining picture-specific customization.
Solution Approach 2:
The patent creates a reference database of original parameters from multiple pictures and uses this copied information during gamma correction. Instead of performing complex real-time analysis for each picture, the system retrieves pre-measured original parameters from the reference database and applies them to calculate appropriate gamma correction parameters. This copying approach significantly reduces processing complexity while preserving picture-specific brightness consistency.
Data Source
AI summary
A picture adjusting method includes steps of measuring a plurality of first original parameters in a first picture and measuring a plurality of second original parameters in a second picture for a plurality of color patterns; calculating a first gain factor according to the first original parameters and the second original parameters of at least one of the color patterns except a black pattern; subtracting a product of the first original parameters of the black pattern and the first gain factor from the second original parameters of the black pattern to obtain a plurality of first offset values; adding the first offset values to the first original parameters of each color pattern to obtain a plurality of first updated parameters in the first picture; and multiplying the first updated parameters by a second gain factor to obtain a plurality of first adjusted parameters in the first picture.