RGBW Image Processing Power Reduction via Uniform Color Space
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Solution Overview
Problem
There is a conflict between maintaining image quality and reducing power consumption during RGBW image conversion in OLED displays, as existing methods either fail to save power or degrade image quality by over-exploiting white pixels.
Innovation Solution
A method and apparatus that transform RGB luminance input values into uniform color space coordinates, move them based on luminous efficiencies and a replacement ratio of W, ensuring a color difference threshold is met while increasing the minimum luminance value, allowing for efficient conversion to RGBW luminance output values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If RGBW conversion replaces color with minimum luminance with W pixel, then power consumption is reduced, but image quality degrades due to over-exploitation of W pixels
Solution Approach 1:
The patent transforms RGB luminance values into a uniform color space (such as CIE LUV or CIE LAB), where parameters represent perceptual color attributes. By operating in this transformed parameter space rather than direct RGB values, the method enables more accurate control over color perception during RGBW conversion, allowing white pixel replacement that maintains image quality while reducing power consumption.
Solution Approach 2:
The uniform color space acts as an intermediary between the original RGB input and the final RGBW output. This intermediate representation allows the algorithm to compute optimal white pixel replacement ratios that preserve color accuracy, avoiding direct over-exploitation of white pixels while still achieving power savings.
2Use of energy by moving object
If color saturation is reduced to enable W pixel replacement, then power consumption decreases, but image quality is degraded
Solution Approach 1:
By converting to uniform color space parameters and performing RGBW conversion in this transformed space, the method maintains better control over color saturation attributes. The uniform color space representation allows the algorithm to preserve color saturation while enabling white pixel replacement, unlike direct RGB conversion methods.
Data Source
AI summary
The present disclosure relates to a method and apparatus for image processing, comprising: transforming RGB luminance input values of each of pixels in an image into coordinate values in a uniform color space; moving the coordinates of each of pixels in the uniform color space a setting distance based on luminous efficiencies of RGBW and a replacement ratio of W; the setting distance being set so as to satisfy that a color difference between RGB luminance values transformed from the moved coordinate values in the uniform color space and the respective RGB luminance input values of each of pixels is less than a preset value, in order to maintain image quality; and the setting distance being set so as to satisfy that the minimum of the transformed RGB luminance values is greater than the minimum of the RGB luminance input values. In this way, power consumption is reduced.