A comparative study on the difference of color space conversion based on table look-up method and neural network

• Autorzy: Shang Lingjuan , Sun Hao , Liang Jing , Liu Wang , Wang Aibo , Xie Xufen , Lian Yusheng

Identyfikatory

DOI

10.37190/oa240106

• Języki publikacji: EN

Abstrakty

EN

Objective To study the conversion model of RGB color space to CIE1976 L*a*b* color space with higher accuracy, which provides some value for the fields of computer color matching, color detection, and color reproduction. Methods The method of three-dimensional look-up table method and back propagation (BP) neural network are proposed, and the effect of the model built under the two methods is evaluated under the calculation of CIE1976 L*a*b* and CIE2000 color difference by NCS color card data. Results Under the calculation of CIE1976 L*a*b* color difference, the average color difference under the four interpolation methods of the three-dimensional look-up table is within 3, and the average color difference of the BP neural network algorithm is 1.8720. Under the calculation of CIE2000 color difference, the average color difference of the four interpolation methods of the three-dimensional look-up table drops within 1, and the average color difference of the BP neural network also shows a downward trend, and the specific value is 1.3449. Conclusions According to the result obtained by the research method, the color difference of the tetrahedral interpolation method is the smallest among the four interpolation methods of the three-dimensional look-up table method under both color difference formulas. Whether it is the three-dimensional look-up table method or the BP neural network, the model obtained by the CIE2000 color difference formula is the best. In general, for the two methods, the BP neural network method is more convenient and faster, and the color difference effect is also desirable.

Słowa kluczowe

EN

three-dimensional look-up table method; BP neural network; color space conversion; RGB color space; CIE1976 L*a*b* color space

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2024
• Tom: Vol. 54, nr 1
• Strony: 69--83
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Shang Lingjuan

• School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Sun Hao

• School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Liang Jing

• School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Liu Wang

• School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Wang Aibo

• School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Xie Xufen

• School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, Liaoning, China

autor

Lian Yusheng

• School of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing 102600, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).