Image Processing Method for Electronic Ink Color Conversion
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Solution Overview
Problem
Electronic ink display devices can only display two colors (black and white) and lack the capability to effectively convert color images into three-color images, resulting in a loss of information when displaying color content.
Innovation Solution
An image processing method that acquires image data, calculates Euclidean distances to pure colors (black, white, and red) in a set color space, and replaces pixel data based on these distances using a preset rule, with optional error diffusion to correct adjacent pixels, allowing for the conversion of color images into three-color images while preserving information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If color images are converted to black-and-white images using existing algorithms, then the display is compatible with traditional electronic ink screens, but color information is lost
Solution Approach 1:
The patent changes the parameter of color representation from binary (black and white only) to ternary (black, white, and red). By introducing a third color state and using Euclidean distance calculations in a color space, the system can now preserve and display color information while remaining compatible with electronic ink screens that have limited color capabilities.
2Adaptability or versatility
If electronic ink screens are upgraded to display three colors (black, white, and red), then color representation is improved, but the complexity of image processing increases
Solution Approach 1:
The patent segments the color processing task into distinct steps: calculating Euclidean distances from each pixel to reference colors (black, white, red), comparing these distances, and selecting the closest match. This segmented approach breaks down the complex color conversion process into manageable, systematic operations that can be efficiently implemented.
3Measurement precision
If Euclidean distance calculation is used to determine color replacement, then color accuracy is improved, but computational time increases
Solution Approach 1:
The patent applies partial action by calculating Euclidean distances only to three specific reference colors (black, white, and red) rather than comparing against all possible colors. This selective approach maintains color accuracy for the target display device while significantly reducing computational complexity and processing time compared to full-color space transformations.
Data Source
AI summary
The present disclosure provides an image processing method, an image processing device, and a display device. The image processing method includes: acquiring image data including display data of all of pixels of an image; and performing, on the display data of each of the pixels, operations of: determining Euclidean distances from the display data of the pixel to the display data of a first pure color, the display data of a second pure color, and the display data of a third pure color in a set color space; and replacing the display data of the pixel with one of the display data of the first pure color, the display data of the second pure color and the display data of the third pure color according to the determined Euclidean distances and a preset rule.