Image Processing Apparatus for Realistic Material Feel Reproduction
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Solution Overview
Problem
Current image processing technologies are limited in reproducing the tactile feel of materials in videos, failing to accurately simulate the visual experience of viewing a subject in real life, particularly in enhancing highlight areas and maintaining image quality.
Innovation Solution
An image processing apparatus and method that extracts and analyzes physical and environmental information from images to control the material feel by optimizing reflection characteristics, enhancing specular reflections, and performing shadow control, thereby recreating a more realistic visual experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If basic image quality parameters such as contrast and delicacy are increased, then image quality is improved, but the ability to reproduce the tactile feel of materials is limited
Solution Approach 1:
The patent changes the parameters of image processing by introducing material-specific parameters such as specular reflection intensity, highlight area distribution, and shadow characteristics. These parameters are adjusted according to the type of material being reproduced (e.g., metal, plastic, fabric) to enhance the tactile feel beyond basic image quality adjustments.
Solution Approach 2:
The patent applies local quality by differentiating processing parameters for different regions of the image based on material characteristics. Specifically, highlight areas, specular reflection regions, and shadow areas are processed differently according to the material type, allowing realistic reproduction of material feel in specific local regions rather than uniform processing across the entire image.
2Adaptability or versatility
If highlight areas are enhanced to reproduce material feel, then realism is improved, but image processing complexity increases
Solution Approach 1:
The patent segments the image processing into distinct functional modules: a material feel generation unit that creates material-specific parameters, a highlight area extraction unit that identifies highlight regions, and a composite image generation unit that combines these elements. This segmentation reduces overall processing complexity by dividing the task into manageable, specialized components.
Solution Approach 2:
The patent performs preliminary action by pre-generating material feel parameters for different material types before actual image processing. The material feel generation unit creates lookup tables or parameter sets for various materials (metal, plastic, fabric) in advance, so that during image processing, only parameter selection and application are needed rather than computing material characteristics from scratch.
Data Source
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AI summary
The present disclosure relates to an image processing apparatus and method capable of reproducing a material feel just like a real thing is there. A reflection characteristic estimation unit estimates and analyzes, from a supplied input image, a reflection characteristic of the subject as a characteristic of a subject. The reflection characteristic estimation unit supplies a specular reflection component as a reflection characteristic estimation result to a characteristic information integrating unit and a highlight area detection unit as an image estimation information. The highlight area detection unit performs highlight area detection in parallel to processing with the reflection characteristic estimation unit by using the specular reflection component as the reflection characteristic estimation result from the reflection characteristic estimation unit, and supplies the highlight area detection result to a characteristic information integrating unit as the image estimation information. The present disclosure is applicable to an image processing apparatus, for example.