Image Adjustment via Dark Pixel Ratio Lookup
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Solution Overview
Problem
Current image adjustment methods, such as the single curve, dynamic curve, and quasi-HDR methods, either fail to achieve high image quality with lower hardware resources or consume excessive resources, making them unsuitable for portable electronic devices.
Innovation Solution
A method that analyzes the dark pixel ratio of an image frame to determine an image adjusting curve equation, allowing for efficient image adjustment by mapping dark pixel ratios to image adjusting curve equations in tables, reducing hardware resource consumption while achieving dynamic curve method-like effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the dynamic curve method is used to adjust image, then the reinforcement effect is improved, but the hardware resource consumption increases
Solution Approach 1:
The patent pre-calculates and stores multiple curve equations corresponding to different dark pixel ratios in a table during the design phase. During actual image adjustment, the system only needs to query the pre-stored table based on the calculated dark pixel ratio, avoiding complex real-time calculations and reducing hardware resource requirements while maintaining dynamic curve adjustment capabilities
Solution Approach 2:
The patent changes the parameter of curve selection from requiring complex image analysis to using a simple dark pixel ratio parameter. By mapping dark pixel ratios to specific curve equations through a lookup table, the system achieves adaptive curve selection with reduced computational complexity and lower hardware resource consumption
2Device complexity
If the single curve method is used to adjust image, then the hardware resource consumption is reduced, but the reinforcement effect deteriorates
Solution Approach 1:
The patent introduces dynamic curve selection based on the dark pixel ratio of the input image. Instead of using a fixed single curve, the system dynamically selects the most appropriate curve equation from multiple pre-stored options by calculating the dark pixel ratio and querying the corresponding curve from the lookup table, thereby achieving adaptive image adjustment with reduced hardware requirements
3Manufacturing precision
If the quasi-HDR method is used to adjust image, then the image quality is improved, but the hardware resource consumption increases significantly
Solution Approach 1:
The patent pre-calculates and stores multiple curve equations corresponding to different dark pixel ratios in a table during the design phase. During actual image adjustment, the system only needs to query the pre-stored table based on the calculated dark pixel ratio, avoiding complex real-time calculations and reducing hardware resource requirements while maintaining dynamic curve adjustment capabilities
Solution Approach 2:
The patent changes the parameter of curve selection from requiring complex image analysis to using a simple dark pixel ratio parameter. By mapping dark pixel ratios to specific curve equations through a lookup table, the system achieves adaptive curve selection with reduced computational complexity and lower hardware resource consumption
Data Source
AI summary
A method for adjusting image is applied to an image output device. According to the method, the image output device firstly obtains a current image frame including plural pixels, and analyzes an intensity of an input image signal value of each pixel. The image output device defines each pixel having the input image signal value being smaller than a critical value as a dark pixel, and counts a number of the dark pixels to obtain a ratio of the dark pixels among all the pixels to serve as a dark pixel ratio. The image output device determines an image adjusting curve equation according to the dark pixel ratio, substitutes the input image signal values to the image adjusting curve equation, and obtains output image signal values of the pixels. Finally, the image output device combines all the output image signal values to obtain a final output image frame.