Image Processing for E-Ink Three-Color Boundary Clarity
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Solution Overview
Problem
Existing image processing methods result in severe deformation and unclear content display due to boundary issues between adjacent pixel points in images converted to red, white, and black, particularly on electronic ink screens.
Innovation Solution
A method involving determining a target pixel sample group based on average gray-scale values of adjacent pixel points, followed by identifying a target pixel sample within that group to convert initial pixel values into corresponding target pixel values, using a device or apparatus with modules to facilitate this process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If image processing converts image to red, white, and black three colors for electronic ink screen display, then the image can be displayed on electronic ink screen, but boundary problems occur between adjacent pixel points causing severe deformation and unclear content
Solution Approach 1:
The patent changes the parameter representation of pixel colors by introducing gray-scale values and trend indicators. Instead of directly mapping to three fixed colors, pixel points are assigned gray-scale values that reflect their brightness information, and trend indicators that capture the directional relationship with adjacent pixels. This parameter transformation enables gradual transitions between different gray levels, resolving the boundary deformation issue while maintaining electronic ink screen compatibility.
Solution Approach 2:
The patent introduces dynamic elements into the image processing by calculating trend indicators that adapt to local image characteristics. The trend indicator dynamically adjusts based on the gray-scale values of adjacent pixel points, allowing the processing method to respond to different image regions (edges, smooth areas, gradients). This dynamic adaptation prevents rigid color mapping and eliminates boundary artifacts.
2Productivity
If traditional image processing methods are used, then processing speed is maintained, but boundary issues cause severe deformation and content distortion
Solution Approach 1:
The patent segments the image processing into distinct stages: calculating gray-scale values for each pixel point, determining trend indicators based on adjacent pixel relationships, and finally mapping to target colors. This segmentation allows each stage to be optimized independently, maintaining processing efficiency while improving image quality through the intermediate gray-scale and trend representation.
Solution Approach 2:
The patent introduces intermediate representations (gray-scale values and trend indicators) that mediate between the original image data and the final three-color output. These intermediaries preserve more information during processing, allowing for smoother transitions and better quality output without significantly increasing computational complexity.
Data Source
AI summary
Provided is a method for processing an image. The method comprises: determining, based on an average gray-scale value of n adjacent pixel points in a first image to be processed, a target pixel sample group from a plurality of pixel sample groups; determining, based on a gray-scale value of each of the n pixel points, a target pixel sample from at least one pixel sample in the target pixel sample group; determining, based on the target pixel sample and initial pixel values of the n pixel point, target pixel values of the n pixel points from pixel values corresponding to a plurality of alternative colors; and converting the initial pixel values of the n pixel points in the first image into corresponding target pixel values.