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Decolorization algorithm based on contrast pyramid transform fusion

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Abstract

The purpose of decolorization is to convert a color image into a grayscale image while maintaining the contrast and structural characteristics of the original color image as much as possible. This paper proposes a decolorization method based on contrast pyramid transform fusion. Image fusion based on contrast tower decomposition is performed on different spatial frequency bands, so it is possible to obtain a fusion effect closer to human visual characteristics. First, we extract the R, G and B channel images of the original color image and the initial grayscale image. Then, we perform Laplacian pyramid fusion of the R, G and B channel images of the original color image with the initial grayscale image to obtain three images. Finally, the three images obtained are reconstructed by contrast pyramid fusion, and our result image is obtained. The visual comparison and quantitative experimental results show that the proposed contrast pyramid fusion decolorization method is more robust, can fully maintain image details and other information, and reduce the distortion in the process of fusion and decolorization.

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Acknowledgments

The authors acknowledge the National Natural Science Foundation of China (61772319, 62002200, 61976125, 61976124 and 12001327), and Shandong Natural Science Foundation of China (Grant no. ZR2020QF012).

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Authors and Affiliations

  1. School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai, China

    Nana Yu & Zhen Hua

  2. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China

    Jinjiang Li

  3. Institute of Network Technology, ICT(Yantai), Yantai, China

    Zhen Hua

Authors
  1. Nana Yu
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  2. Jinjiang Li
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  3. Zhen Hua
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Correspondence to Jinjiang Li.

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Nana Yu, Jinjiang Li and Zhen Hua declare that they have no conflict of interest.

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Cite this article

Yu, N., Li, J. & Hua, Z. Decolorization algorithm based on contrast pyramid transform fusion. Multimed Tools Appl 81, 15017–15039 (2022). https://doi.org/10.1007/s11042-022-12189-4

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  • DOI: https://doi.org/10.1007/s11042-022-12189-4

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