Color Temperature Detection Using Characteristic Curve Filtering
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Solution Overview
Problem
Existing methods for detecting color temperature in imaging devices suffer from errors due to inclusion of unrelated color information and complexity in calculation, particularly when using the YUV value system, which increases error rates and computational complexity.
Innovation Solution
A method and apparatus that generate a filtering zone based on R-G and B-G color difference information to accurately determine color temperature, minimizing the area of the color zone and eliminating negative numbers through interpolation and compensation, ensuring accurate color representation and reduced computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a rectangle containing all characteristic curve points is used as the color zone, then all color information is included, but unrelated color information is also included causing detection errors
Solution Approach 1:
The patent extracts only the essential characteristic curve points that define the color temperature relationship, removing unrelated color information from the color zone. By using only the minimum necessary points to define the zone boundaries, the method excludes erroneous color data while retaining accurate color temperature detection capability.
Solution Approach 2:
The patent applies different quality criteria to different regions of the color zone by defining boundaries based on characteristic curve points. Each boundary is locally optimized to include only relevant color information, creating a non-uniform zone that adapts to the specific geometric distribution of characteristic points rather than using a uniform rectangular shape.
2Measurement precision
If multiple rectangles or parallelograms are used to form the color zone, then unrelated color information is reduced, but discontinuity and complexity increase
Solution Approach 1:
The patent merges multiple boundary definitions into a single unified color zone by connecting characteristic curve points to form a continuous polygonal boundary. This combines the advantages of multiple rectangles (reduced unrelated information) into one coherent structure, eliminating discontinuity while maintaining precision.
Solution Approach 2:
The patent segments the color zone into triangular regions formed by connecting characteristic curve points, allowing precise definition of boundaries while maintaining a unified overall structure. This segmentation approach enables accurate inclusion of relevant color information without requiring multiple separate rectangles.
3Measurement precision
If the color zone is expanded to cover distorted characteristic curves, then all characteristic points are included, but erroneous color information increases and computation becomes more complex
Solution Approach 1:
The patent extracts only the essential characteristic curve points that accurately represent the color temperature relationship, removing distorted or erroneous points from the color zone definition. By selectively including only valid characteristic points, the method maintains coverage of the true characteristic curve while excluding erroneous color information.
4Adaptability or versatility
If YUV value system is used for color temperature detection, then color information can be processed, but calculation complexity and error rates increase
Solution Approach 1:
The patent changes the parameter representation from YUV values to a simplified coordinate system based on characteristic curve points. By transforming the color information into a geometry-based representation defined by triangular regions and boundary points, the method maintains color processing capability while significantly reducing calculation complexity and eliminating the need for complex YUV conversions.
Data Source
AI summary
A method for detecting color temperature and an apparatus thereof are disclosed. According to the present invention, the apparatus for detecting color temperature converts RGB color information, generated by interpolating an image signal sequentially inputted in units of pixel from an image sensor, to a three-dimensional coordinate value of luminance, R-G color difference information, and B-G color difference information, and then renews the added value per color, if included in a filtering zone corresponding to a characteristic curve of the image sensor. Then, an average value per color is generated in units of frame, and the compensation rate per color is determined such that the average value per color becomes identical to each other. With the present invention, accurate colors can be displayed by detecting the color temperature of the current light source and correcting the distorted color information.