Sequential Color Reproduction Non-Linear Transformation
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Solution Overview
Problem
Imaging systems often produce objectionable color separation artifacts, particularly in sequential color imaging, due to differences in color spaces and primary color combinations between the image source and the imaging system, leading to inferior image quality, especially noticeable in high contrast scenes like scrolling white text on a black background.
Innovation Solution
A method and system that process images by deriving a second set of color components using a non-linear transformation, introducing an additional color not present in the original set, and redistributing intensities among the primary color components to eliminate or reduce color separation artifacts, applicable to various imaging systems including digital and analog technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sequential color imaging is used, then device complexity is reduced, but color separation artifacts increase
Solution Approach 1:
The patent applies parameter changes by transforming color image components through non-linear transformations and redistributing intensities among color components. This modifies the color parameter representation to reduce color separation artifacts while maintaining sequential imaging simplicity.
Solution Approach 2:
The patent introduces an intermediary color component (such as white or yellow) that acts as a mediator between the primary color components. This intermediary component helps to reduce color separation artifacts by providing an additional channel for color representation without requiring complex simultaneous multi-color imaging systems.
2Manufacturing precision
If color space transformation is performed, then image quality improves, but processing complexity increases
Solution Approach 1:
The patent transforms color image components from one color space to another using non-linear transformations. This parameter change in color representation improves image quality by better matching the imaging system's primary colors while managing processing complexity through efficient transformation algorithms.
Solution Approach 2:
The patent segments the color processing into distinct stages: receiving original color components, performing non-linear transformations, redistributing intensities, and generating transformed color components. This segmentation makes the complex color space transformation more manageable and implementable.
3Object-generated harmful factors
If additional color component is introduced, then color separation artifacts reduce, but device complexity increases
Solution Approach 1:
The patent introduces an additional color component (intermediary) such as white or yellow that serves as a mediator to reduce color separation artifacts. This intermediary component is derived through non-linear transformation of existing color components, reducing the need for additional physical hardware while improving image quality.
Solution Approach 2:
The patent adds another dimension to the color space by introducing an additional color component beyond the traditional three primary colors. This dimensional expansion in color representation allows for better artifact reduction while maintaining compatibility with existing imaging hardware through software-based processing.
Data Source
AI summary
An improved color processing method for use in imaging systems transforms the input color image components into an output set of color image components, at least one of which is transformed using a non-linear transformation function.