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Study on Gamut Mapping Algorithm Based on GRNN

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Advanced Graphic Communications and Media Technologies (PPMT 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 417))

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Abstract

The paper proposed a new gamut mapping algorithm based on General Regression Neural Network (GRNN) for the problem that the color of pictures can’t be reproduced perfectly in the cross media transmission. The two groups color samples were created by Matlab. One color group is Adobe RGB as the original gamut, and the other is sRGB as the aim gamut. Then they were converted into a Profile Connection Space (PCS), such as CIE LAB or IPT. The GRNN gamut mapping module, the mapping relationship of the original gamut and reproduction gamut, were calculated with color samples. The color differences of mapping and original pictures are small in general and the saturation of mapping picture is higher than that of original picture. The different PCS has effect on the mapping result of specific type picture. The gamut mapping result of GRNNGM (General Regression Neural Network Gamut Mapping) algorithm is better than the HPMINDE (Hue Perceived Minimum Color Difference Error) algorithm. Lab space is more fit with the face picture mapping and there are no significant differences to the other types of pictures.

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References

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Author information

Authors and Affiliations

  1. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China

    Pukang Yuan

  2. School of Media and Design, Hangzhou Dianzi University, Hangzhou, Zhejiang, China

    Qiang Wang

  3. Shanghai Publishing and Printing College, Shanghai, China

    Lingjun Kong & Quanhui Tian

Authors
  1. Pukang Yuan
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  2. Qiang Wang
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  3. Lingjun Kong
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  4. Quanhui Tian
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Corresponding author

Correspondence to Pukang Yuan .

Editor information

Editors and Affiliations

  1. China Academy of Printing Technology, Beijing, China

    Pengfei Zhao

  2. China Academy of Printing Technology, Beijing, China

    Yun Ouyang

  3. China Academy of Printing Technology, Beijing, China

    Min Xu

  4. China Academy of Printing Technology, Beijing, China

    Li Yang

  5. China Academy of Printing Technology, Beijing, China

    Yujie Ouyang

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© 2017 Springer Nature Singapore Pte Ltd.

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Yuan, P., Wang, Q., Kong, L., Tian, Q. (2017). Study on Gamut Mapping Algorithm Based on GRNN. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ouyang, Y. (eds) Advanced Graphic Communications and Media Technologies . PPMT 2016. Lecture Notes in Electrical Engineering, vol 417. Springer, Singapore. https://doi.org/10.1007/978-981-10-3530-2_13

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  • DOI: https://doi.org/10.1007/978-981-10-3530-2_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3529-6

  • Online ISBN: 978-981-10-3530-2

  • eBook Packages: EngineeringEngineering (R0)

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