Image Texture Preservation via JND Reflectance Adjustment
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Solution Overview
Problem
Existing image processing methods that adjust for varying brightness in display environments can alter the texture of the displayed image, making it differ from the original, and fail to maintain the image's texture when external light or display device luminance changes.
Innovation Solution
An image converting method that acquires a JND corresponding value width for the reflectance component of input images, adjusts it using a predetermined rule based on a second reference luminance, and mixes the illumination and corrected reflectance components to generate output image data, ensuring the texture of the original image is preserved across different lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If image processing methods adjust for varying brightness in display environments, then visibility of the display image is improved, but the texture of the displayed image becomes different from the original image
Solution Approach 1:
The patent segments the image into illumination light component and reflectance component. By separating these components, the processing can independently adjust the illumination component for brightness while preserving the reflectance component's texture characteristics, thus resolving the contradiction between improving visibility and maintaining texture fidelity.
Solution Approach 2:
The patent applies different processing characteristics to different components: the illumination light component undergoes brightness adjustment while the reflectance component maintains its original texture properties. This local differentiation allows simultaneous optimization of visibility and texture preservation.
2Shape
If the reflectance component is corrected to maintain texture, then the texture reproduction is improved, but the adaptability to different lighting conditions decreases
Solution Approach 1:
The patent dynamically adjusts the reflectance component based on the display device's luminance characteristics and external lighting conditions. The correction amount is not fixed but varies according to environmental factors, enabling the system to adapt to different lighting conditions while maintaining texture quality.
Solution Approach 2:
The patent changes the correction parameters of the reflectance component according to display luminance and environmental lighting conditions. By adjusting parameters such as correction amount and processing strength dynamically, the system maintains both texture fidelity and adaptability across varying conditions.
3Shape
If the JND corresponding value width is maintained between before and after correcting the reflectance component, then the texture reproduction is improved, but the processing complexity increases
Solution Approach 1:
The patent incorporates feedback mechanisms to monitor and adjust the JND corresponding value width during processing. By continuously evaluating the texture quality and adjusting the correction parameters accordingly, the system achieves high texture reproduction without requiring overly complex processing pipelines.
Data Source
AI summary
An image converting method and image converting device that are able to properly reproduce the appearance of the original image even in an environment having different brightness. The image converting method includes a JND corresponding value width acquisition step of, on the basis of input image data, acquiring a JND corresponding value width corresponding to a reflectance component of the input image data, a luminance width acquisition step of acquiring a luminance width corresponding to the JND corresponding value width or a value obtained by converting the JND corresponding value width in accordance with a predetermined rule using, as a reference, a second reference luminance different from a first reference luminance.