Image Decomposition for Texture and Chromaticity Control
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Solution Overview
Problem
Current image processing technologies fail to effectively control and enhance the texture and chromaticity of images, particularly in representing the shade and reflectance components of objects, which are crucial for human perception of three-dimensional features.
Innovation Solution
An image processing apparatus that decomposes pixel values into illumination and reflectance components, using methods like the retinex model and DOG filters, to generate and manipulate these components for improved texture representation and chromaticity control, allowing for the creation of realistic shade and mirror surface effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image processing technologies modify entire images or finish skin and sky with memory color, then image quality improvement is achieved, but effective control and enhancement of texture and chromaticity is not achieved
Solution Approach 1:
The patent segments the image into distinct components: illumination component, reflectance component, and texture component. By decomposing the image using the retinex model and separating these elements, the system enables independent control of texture and chromaticity without modifying the entire image globally, thus achieving both image quality improvement and effective local control.
Solution Approach 2:
The patent applies local quality by allowing different processing operations on different image components. The illumination component affects overall brightness and shading, the reflectance component controls chromaticity and color properties, and the texture component preserves or enhances surface details. This localized control enables precise manipulation of texture and chromaticity while maintaining overall image quality.
2Manufacturing precision
If image processing technologies control illumination and reflectance components, then texture and chromaticity enhancement is achieved, but complexity of processing increases
Solution Approach 1:
The patent introduces the retinex model as an intermediary framework that facilitates the decomposition of images into illumination and reflectance components. This intermediary approach provides a systematic method for separating and controlling different image properties, making the complex processing task more manageable and structured while achieving enhanced texture and chromaticity representation.
3Manufacturing precision
If conventional image processing modifies entire images, then overall image quality is improved, but three-dimensional feature representation is not effectively enhanced
Solution Approach 1:
The patent segments the image processing task to specifically target three-dimensional feature representation. By separating the illumination component (which contains shading and lighting information crucial for 3D perception) from the reflectance component, the system can enhance three-dimensional features through illumination component manipulation without compromising overall image quality.
Solution Approach 2:
The patent utilizes color changes in the reflectance component to enhance three-dimensional feature representation. By controlling chromaticity independently through reflectance component manipulation, the system can emphasize surface properties and material characteristics that contribute to perceived three-dimensionality, complementing the structural information from illumination processing.
Data Source
AI summary
An image processing apparatus includes an image decomposing unit that decomposes a pixel value of each pixel forming an original image into an illumination component and a reflectance component to generate an illumination component image, and an image composing unit that reflects the illumination component on a sample image serving as a sample of image, and combines the sample image with the illumination component reflected thereon to the original image.