Image Formation Control for Fabric Vividness via Color Space Segmentation
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Solution Overview
Problem
Conventional color printers struggle to reproduce vivid and high-fidelity images on fabrics, such as T-shirts, due to differences in color spaces between display devices and printers, leading to issues like loss of color intensity and contrast.
Innovation Solution
An image formation controlling method and system that allows users to specify a vividness enhancement target color for certain areas of an image, converting those areas to a single target color while leaving others unconverted, using a transition process to maintain image quality and achieve desired vibrant and clear prints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional color space matching process is used to reproduce images on fabric, then color fidelity is maintained, but vividness and contrast are lost
Solution Approach 1:
The patent applies different color processing strategies to different regions of the color space. Specifically, it identifies a first area in the color space where vividness enhancement is applied by converting to a single target color, and a second area where conventional color matching is maintained. This local differentiation allows simultaneous achievement of vividness in certain regions and color fidelity in others, resolving the contradiction between these two opposing requirements.
Solution Approach 2:
The color space is segmented into multiple distinct areas (first area for vividness enhancement, second area for conventional processing). This segmentation allows the system to apply different processing rules to different portions of the color space, enabling the coexistence of vivid enhanced colors and faithfully reproduced colors within the same image, thus resolving the contradiction between vividness and color fidelity.
2Manufacturing precision
If color space is compressed to match printer reproductive range, then color accuracy is improved, but color saturation and vividness are reduced
Solution Approach 1:
The patent changes the processing parameters differently for different areas of the color space. In the first area, it applies vividness enhancement that prioritizes saturation and vividness over precise color matching. In the second area, it maintains conventional color matching parameters for accuracy. This parameter differentiation across color space regions resolves the contradiction between color accuracy and color saturation.
3Adaptability or versatility
If multiple processing modes are provided for color matching, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple processing modes into a unified color space processing framework. Instead of implementing separate processing pipelines for different modes, it integrates vividness enhancement and conventional color matching as different processing paths within the same color space conversion system. This unification maintains adaptability while reducing overall system complexity compared to having completely separate processing systems for each mode.
Data Source
AI summary
An image formation control system including an input system that is adapted to input instruction signals concerning a vividness enhancement target color of image signals from a user, and a vividness enhancement processing system that is adapted to apply a vividness enhancement process by converting at least one first area of a color space concerning the image signals to a single vividness enhancement target color corresponding to each first area according to the instruction signals from the user input through the input system, and by determining a second area which is the remaining area of the color space wherein the vividness enhancement process is not applied is provided. The image signals processed with the vividness enhancement process are converted to output data for a printer.