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Approximated unsharp masking on equi-hue plane in RGB color space

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Abstract

Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color image, the hue of the output image is changed from that of the input image. A hue-preserving unsharp masking method has been proposed thus far. However, the effect of image sharpening is slightly small. In this paper, we propose a new hue-preserving unsharp masking method that sharpens the image effectively. In the proposed method, componentwise unsharp masking is approximated by linear transformation satisfying Naik’s hue-preserving condition, and the gamut problem is solved by processing in an equi-hue plane in an RGB color space. In the experiments, the effectiveness of the proposed method is verified by qualitative and quantitative evaluations.

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Data availability

The data that support the findings of this study are available from the corresponding author, N. Suetake, upon reasonable request.

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Acknowledgements

We thank Ms. Yukino Kihara for helpful discussions. This work was supported by JSPS KAKENHI, Grant Number JP22KJ2342.

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  1. Yamaguchi University, 1677-1 Yoshida, Yamaguchi, 753-8512, Japan

    Mashiho Mukaida & Noriaki Suetake

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  1. Mashiho Mukaida
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  2. Noriaki Suetake
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Correspondence to Noriaki Suetake.

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Mukaida, M., Suetake, N. Approximated unsharp masking on equi-hue plane in RGB color space. Opt Rev 30, 516–525 (2023). https://doi.org/10.1007/s10043-023-00838-4

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