Image Segregation for Illumination and Material Component Separation
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Solution Overview
Problem
Conventional image processing techniques, such as gamma correction, often result in unacceptable distortion of image characteristics like color, as they fail to accurately separate and manipulate illumination and material aspects of an image, leading to a need for improved methods that can accurately adjust image intensity and color while preserving the physical phenomena of the visual world.
Innovation Solution
The method involves segregating an image into intrinsic illumination and material components using spatio-spectral information, employing operators and constraints to identify and separate these components, and then merging them to produce a modified output image that accurately represents the original scene with improved color and intensity adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If gamma correction is used to brighten an image, then image intensity is improved, but color accuracy deteriorates
Solution Approach 1:
The patent segments the image into two separate intrinsic images: an illumination image containing only lighting information and a material image containing only surface reflectance information. This segmentation allows independent processing of illumination and material properties, enabling intensity adjustment without color distortion by applying modifications only to the illumination component while preserving the material component's color accuracy.
2Adaptability or versatility
If conventional image manipulation is used to change image appearance, then versatility is improved, but physical accuracy deteriorates
Solution Approach 1:
By separating illumination and material aspects into distinct intrinsic images, the patent enables versatile manipulations (brightness adjustment, contrast enhancement, shadow removal) while maintaining physical accuracy. Each manipulation can be applied selectively to either the illumination or material image, preserving the physical relationship between lighting and surface properties while providing flexible image modification capabilities.
Data Source
AI summary
An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, performing an image segregation operation on the image file to generate a set of intrinsic images corresponding to the image, modifying a preselected one of the set of intrinsic images according to a set of preselected operations and merging the modified one of the set of intrinsic images relative to the set of intrinsic images to provide a modified output image.