Wibowo, E.P. and Talita, A.S. and Iqbal, M. and Benny Mutiara, A. and Lu, C.-K. and Meriaudeau, F. (2019) An improved calibration technique for polarization images. IEEE Access, 7. pp. 28651-28662. ISSN 21693536
Full text not available from this repository.Abstract
Polarization imaging can be used to improve the image quality by reducing the effects of the unwanted light reflection, enhancing the quality of images taken in non-ideal conditions, such as foggy weather, or reconstructing the 3D form of an object based on the shape from polarization. Reconstructing a 3D form requires the acquisition of multiple images and inference of the polarization parameters, such as the degree of polarization and angle of polarization, from these experimental data. The light polarization extraction process should begin by performing the photometric calibration to improve the performance of the polarize instrument measurements by reducing the measurement errors and improving the consistency between measurements. We propose an algorithm based on the kernel ridge regression method to estimate both the polarization parameters and the measurement (angle) errors in the placement of the polarizer. The algorithm was tested on four different sets of images containing different objects based on their responses to light and polarization. The algorithm that uses the mixed kernel function gives the best results. © 2013 IEEE.
Item Type: | Article |
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Additional Information: | cited By 8 |
Uncontrolled Keywords: | Calibration; Image reconstruction; Instrument errors; Light reflection; Optical instruments; Polarization; Regression analysis, Angle of polarization; Calibration techniques; Degree of polarization; Kernel ridge regressions; Photometric calibration; Polarization parameters; Polarizer; Shape from polarization, Image enhancement |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:26 |
Last Modified: | 10 Nov 2023 03:26 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/12190 |