Pixel Color Temperature Conversion Using Brightness and Hue
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Solution Overview
Problem
Conventional image display devices face issues with color temperature conversion, leading to color distortions, especially in human skin tones, due to large differences between current and target color temperatures.
Innovation Solution
A method and apparatus for color temperature conversion on a pixel-by-pixel basis, using brightness and hue information to adjust color coordinates within a defined conversion range, minimizing distortions by moving pixels proportionally along a reference point in a color coordinate system, such as an oval, to achieve a user-set color temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If conventional image display devices convert color temperature by adjusting hue or controlling RGB video signals, then the color temperature of the image can be changed, but color distortions occur especially in human skin tones
Solution Approach 1:
The patent applies local quality by differentiating between pixels that require color temperature conversion and those that do not. It identifies skin-tone pixels and applies a different conversion strategy (maintaining original color temperature) compared to non-skin pixels (converting to target color temperature). This selective approach preserves natural skin tones while still achieving overall color temperature adjustment for the image.
Solution Approach 2:
The patent changes parameters by using brightness and hue as key parameters to determine conversion strategy. It calculates brightness values for each pixel and uses hue information to identify skin tones. Based on these parameter changes, it dynamically adjusts whether to convert color temperature for each pixel, rather than applying a uniform conversion across the entire image.
2Temperature
If conventional image display devices use correlation matrices to convert color temperature, then color temperature conversion can be achieved, but image representations are adversely affected when there is a large difference between current and target color temperatures
Solution Approach 1:
The patent segments the image processing into distinct steps: brightness calculation, hue-based skin tone detection, conditional conversion decision-making, and separate processing paths for skin and non-skin pixels. This segmentation allows the system to handle different pixel types with appropriate methods, improving overall image representation quality during color temperature conversion.
Solution Approach 2:
Instead of forcing all pixels to conform to the target color temperature, the patent inverts the approach by preserving the original color temperature for skin-tone pixels even when converting the overall image color temperature. This inversion prioritizes natural skin representation over uniform color temperature conversion, thereby improving image representation reliability.
Data Source
AI summary
A color conversion method, medium, and apparatus, converting a color temperature of an image to a user-set color temperature, on a pixel-by-pixel basis, based on the brightness of each pixel of the image. The color temperature conversion method may include determining a first information associated with a conversion range, determining whether the color temperature of the input pixel needs to be converted by determining, based on the first information, whether the input pixel is within the conversion range, calculating color coordinates of a target point if the input pixel is within the conversion range, and converting the color temperature of the input pixel by moving, in the same direction as the reference point to the target point an amount proportional to the reference point displacement so that the input pixel can be automatically moved along with the reference point of the conversion range.