Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System

Hengrun Chen; Yumei Li; Shining Ma; Xufen Xie; Yue Liu; Weitao Song

doi:10.1007/978-981-99-7549-5_25

Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System

Hengrun Chen, Yumei Li, Shining Ma, Xufen Xie^*, Yue Liu, Weitao Song

^*Corresponding author for this work

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The nonlinearity of the trichromatic imaging system response affects the accuracy of reconstructed spectral information. In this paper, an experiment was designed to analyze the nonlinearity affection on spectral reconstruction. The TIFF and sRGB PPM format images were obtained by DCraw software as the linear and nonlinear data, and Gamma transform was conducted for linear data to simulate nonlinearity affection. Then, the methods of ordinary least squares (OLS), Wiener filter and principal component analysis (PCA) were used to reconstruct spectrum from linear and nonlinear data. At last, the mean relative difference (MRD) was deduced for the first time. The MRE and color difference were used to evaluate the system response nonlinearity affection on spectrum reconstruction.

Original language	English
Title of host publication	Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers
Editors	Wang Yongtian, Wu Lifang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	344-357
Number of pages	14
ISBN (Print)	9789819975488
DOIs	https://doi.org/10.1007/978-981-99-7549-5_25
Publication status	Published - 2023
Event	18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023 - Beijing, China Duration: 17 Aug 2023 → 19 Aug 2023

Publication series

Name	Communications in Computer and Information Science
Volume	1910 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023
Country/Territory	China
City	Beijing
Period	17/08/23 → 19/08/23

Keywords

Gamma transform
Spectral reconstruction
Trichromatic imaging
nonlinearity response

Access to Document

10.1007/978-981-99-7549-5_25

Cite this

Chen, H., Li, Y., Ma, S., Xie, X., Liu, Y., & Song, W. (2023). Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System. In W. Yongtian, & W. Lifang (Eds.), Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers (pp. 344-357). (Communications in Computer and Information Science; Vol. 1910 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-7549-5_25

Chen, Hengrun ; Li, Yumei ; Ma, Shining et al. / Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System. Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers. editor / Wang Yongtian ; Wu Lifang. Springer Science and Business Media Deutschland GmbH, 2023. pp. 344-357 (Communications in Computer and Information Science).

@inproceedings{3d620ca874f04d64b1b6f00bb30b0f7a,

title = "Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System",

abstract = "The nonlinearity of the trichromatic imaging system response affects the accuracy of reconstructed spectral information. In this paper, an experiment was designed to analyze the nonlinearity affection on spectral reconstruction. The TIFF and sRGB PPM format images were obtained by DCraw software as the linear and nonlinear data, and Gamma transform was conducted for linear data to simulate nonlinearity affection. Then, the methods of ordinary least squares (OLS), Wiener filter and principal component analysis (PCA) were used to reconstruct spectrum from linear and nonlinear data. At last, the mean relative difference (MRD) was deduced for the first time. The MRE and color difference were used to evaluate the system response nonlinearity affection on spectrum reconstruction.",

keywords = "Gamma transform, Spectral reconstruction, Trichromatic imaging, nonlinearity response",

author = "Hengrun Chen and Yumei Li and Shining Ma and Xufen Xie and Yue Liu and Weitao Song",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023 ; Conference date: 17-08-2023 Through 19-08-2023",

year = "2023",

doi = "10.1007/978-981-99-7549-5_25",

language = "English",

isbn = "9789819975488",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "344--357",

editor = "Wang Yongtian and Wu Lifang",

booktitle = "Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers",

address = "Germany",

}

Chen, H, Li, Y, Ma, S, Xie, X, Liu, Y & Song, W 2023, Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System. in W Yongtian & W Lifang (eds), Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers. Communications in Computer and Information Science, vol. 1910 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 344-357, 18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023, Beijing, China, 17/08/23. https://doi.org/10.1007/978-981-99-7549-5_25

Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System. / Chen, Hengrun; Li, Yumei; Ma, Shining et al.
Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers. ed. / Wang Yongtian; Wu Lifang. Springer Science and Business Media Deutschland GmbH, 2023. p. 344-357 (Communications in Computer and Information Science; Vol. 1910 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System

AU - Chen, Hengrun

AU - Li, Yumei

AU - Ma, Shining

AU - Xie, Xufen

AU - Liu, Yue

AU - Song, Weitao

PY - 2023

Y1 - 2023

N2 - The nonlinearity of the trichromatic imaging system response affects the accuracy of reconstructed spectral information. In this paper, an experiment was designed to analyze the nonlinearity affection on spectral reconstruction. The TIFF and sRGB PPM format images were obtained by DCraw software as the linear and nonlinear data, and Gamma transform was conducted for linear data to simulate nonlinearity affection. Then, the methods of ordinary least squares (OLS), Wiener filter and principal component analysis (PCA) were used to reconstruct spectrum from linear and nonlinear data. At last, the mean relative difference (MRD) was deduced for the first time. The MRE and color difference were used to evaluate the system response nonlinearity affection on spectrum reconstruction.

AB - The nonlinearity of the trichromatic imaging system response affects the accuracy of reconstructed spectral information. In this paper, an experiment was designed to analyze the nonlinearity affection on spectral reconstruction. The TIFF and sRGB PPM format images were obtained by DCraw software as the linear and nonlinear data, and Gamma transform was conducted for linear data to simulate nonlinearity affection. Then, the methods of ordinary least squares (OLS), Wiener filter and principal component analysis (PCA) were used to reconstruct spectrum from linear and nonlinear data. At last, the mean relative difference (MRD) was deduced for the first time. The MRE and color difference were used to evaluate the system response nonlinearity affection on spectrum reconstruction.

KW - Gamma transform

KW - Spectral reconstruction

KW - Trichromatic imaging

KW - nonlinearity response

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U2 - 10.1007/978-981-99-7549-5_25

DO - 10.1007/978-981-99-7549-5_25

M3 - Conference contribution

AN - SCOPUS:85176000962

SN - 9789819975488

T3 - Communications in Computer and Information Science

SP - 344

EP - 357

BT - Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers

A2 - Yongtian, Wang

A2 - Lifang, Wu

PB - Springer Science and Business Media Deutschland GmbH

T2 - 18th Chinese Conference on Image and Graphics Technology and Application Conference, IGTA 2023

Y2 - 17 August 2023 through 19 August 2023

ER -

Chen H, Li Y, Ma S, Xie X, Liu Y , Song W. Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System. In Yongtian W, Lifang W, editors, Image and Graphics Technologies and Applications - 18th Chinese Conference, IGTA 2023, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2023. p. 344-357. (Communications in Computer and Information Science). doi: 10.1007/978-981-99-7549-5_25

Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System

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