Intrinsic Image Post Processing via Derivative Comparison
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Solution Overview
Problem
Current computer vision and image processing techniques face challenges in accurately separating illumination and material aspects of images, which affects the accuracy of object recognition and other applications.
Innovation Solution
A method and system that generate intrinsic images by identifying and separating illumination and material components using derivatives comparison, log chromaticity clustering, and post-processing techniques such as edge-preserving blur and artifact reduction, to improve image processing and computer vision applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing techniques are used to separate illumination and material aspects, then the basic separation function is achieved, but the accuracy and quality of the separation deteriorates due to artifacts and inaccuracies
Solution Approach 1:
The patent implements feedback by comparing derivatives of the generated material intrinsic image with derivatives of the original image, identifying artifacts where they differ, and iteratively refining the separation to eliminate artifacts and improve accuracy
Solution Approach 2:
The patent applies edge-preserving blur selectively to specific regions identified as artifacts, rather than uniformly processing the entire image, thereby improving local accuracy without过度 processing
2Measurement precision
If simple image processing methods are used, then the processing speed is fast, but the accuracy of separating illumination and material aspects deteriorates
Solution Approach 1:
The patent segments the image processing into distinct stages: initial separation, derivative calculation, artifact identification through comparison, and selective refinement, making the complex process more manageable and accurate
Solution Approach 2:
The patent introduces derivatives as an intermediary representation to compare the original image and generated intrinsic images, enabling accurate artifact detection without requiring direct complex comparison of the full images
3Reliability
If artifact reduction techniques are applied, then the quality of material intrinsic image is improved, but the processing time increases
Solution Approach 1:
The patent applies edge-preserving blur only to specific regions identified as artifacts rather than the entire image, improving local quality where needed while minimizing overall processing time
Solution Approach 2:
The patent performs partial processing by focusing computational resources only on artifact regions identified through derivative comparison, rather than uniformly processing the entire image
Data Source
AI summary
In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating a material intrinsic image corresponding to the image and modifying the material intrinsic image by identifying artifacts by comparing derivatives for the material intrinsic image with derivatives for the image, modifying the derivatives for the material intrinsic image to conform the derivatives for the material intrinsic to the derivatives of the image and integrating the modified derivatives for the material intrinsic image to calculate a modified material intrinsic image.