Abstract
Achieving color constancy between and within images, i.e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetric analysis and object recognition. Most current methods attempt to solve this by illumination correction on perceptual color spaces. In this paper, we proposed two pixel-wise algorithms to achieve relative color constancy by working under the spectral domain. That is, the proposed algorithms map each pixel to the reflectance ratio of objects appeared in the scene and perform illumination correction in this spectral domain. Also, we proposed a camera calibration technique that calculates the characteristics of a camera without the need of a standard reference. We show that both of the proposed algorithms achieved the best performance on nonuniform illumination correction and relative illumination matching respectively compared to the benchmarked algorithms.
Original language | English |
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Title of host publication | IEEE International Symposium on Signal Processing and Information Technology 2018 |
ISBN (Electronic) | 978-1-5386-7568-7 |
DOIs | |
Publication status | Published - 18 Feb 2019 |
Keywords
- color constancy
- algorithm
- illumination correction
- camera calibration
- pixel-wise
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Dive into the research topics of 'Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain'. Together they form a unique fingerprint.Student Theses
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Image data collection, processing, storage, and their application in smartphone food analysis
Author: Zhao, Y., Jul 2022Supervisor: Rafferty, K. (Supervisor), Elliott, C. (Supervisor) & Zhou, H. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy