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

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...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Mukaida, Mashiho [verfasserIn] Suetake, Noriaki

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Unsharp masking Image sharpening Hue preserving Equi-hue plane Gamut

Anmerkung:	© The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Optical review - Tokyo : Business Center for Acad. Soc., 1994, 30(2023), 5 vom: 30. Aug., Seite 516-525
Übergeordnetes Werk:	volume:30 ; year:2023 ; number:5 ; day:30 ; month:08 ; pages:516-525

Links:	Volltext

DOI / URN:	10.1007/s10043-023-00838-4

Katalog-ID:	SPR053246098

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520			\|a 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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allfields	10.1007/s10043-023-00838-4 doi (DE-627)SPR053246098 (SPR)s10043-023-00838-4-e DE-627 ger DE-627 rakwb eng Mukaida, Mashiho verfasserin aut Approximated unsharp masking on equi-hue plane in RGB color space 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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. Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213 Suetake, Noriaki (orcid)0000-0003-3673-9539 aut Enthalten in Optical review Tokyo : Business Center for Acad. Soc., 1994 30(2023), 5 vom: 30. Aug., Seite 516-525 (DE-627)320485935 (DE-600)2010420-0 1349-9432 nnns volume:30 year:2023 number:5 day:30 month:08 pages:516-525 https://dx.doi.org/10.1007/s10043-023-00838-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 30 2023 5 30 08 516-525
spelling	10.1007/s10043-023-00838-4 doi (DE-627)SPR053246098 (SPR)s10043-023-00838-4-e DE-627 ger DE-627 rakwb eng Mukaida, Mashiho verfasserin aut Approximated unsharp masking on equi-hue plane in RGB color space 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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. Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213 Suetake, Noriaki (orcid)0000-0003-3673-9539 aut Enthalten in Optical review Tokyo : Business Center for Acad. Soc., 1994 30(2023), 5 vom: 30. Aug., Seite 516-525 (DE-627)320485935 (DE-600)2010420-0 1349-9432 nnns volume:30 year:2023 number:5 day:30 month:08 pages:516-525 https://dx.doi.org/10.1007/s10043-023-00838-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 30 2023 5 30 08 516-525
allfields_unstemmed	10.1007/s10043-023-00838-4 doi (DE-627)SPR053246098 (SPR)s10043-023-00838-4-e DE-627 ger DE-627 rakwb eng Mukaida, Mashiho verfasserin aut Approximated unsharp masking on equi-hue plane in RGB color space 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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. Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213 Suetake, Noriaki (orcid)0000-0003-3673-9539 aut Enthalten in Optical review Tokyo : Business Center for Acad. Soc., 1994 30(2023), 5 vom: 30. Aug., Seite 516-525 (DE-627)320485935 (DE-600)2010420-0 1349-9432 nnns volume:30 year:2023 number:5 day:30 month:08 pages:516-525 https://dx.doi.org/10.1007/s10043-023-00838-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 30 2023 5 30 08 516-525
allfieldsGer	10.1007/s10043-023-00838-4 doi (DE-627)SPR053246098 (SPR)s10043-023-00838-4-e DE-627 ger DE-627 rakwb eng Mukaida, Mashiho verfasserin aut Approximated unsharp masking on equi-hue plane in RGB color space 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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. Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213 Suetake, Noriaki (orcid)0000-0003-3673-9539 aut Enthalten in Optical review Tokyo : Business Center for Acad. Soc., 1994 30(2023), 5 vom: 30. Aug., Seite 516-525 (DE-627)320485935 (DE-600)2010420-0 1349-9432 nnns volume:30 year:2023 number:5 day:30 month:08 pages:516-525 https://dx.doi.org/10.1007/s10043-023-00838-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 30 2023 5 30 08 516-525
allfieldsSound	10.1007/s10043-023-00838-4 doi (DE-627)SPR053246098 (SPR)s10043-023-00838-4-e DE-627 ger DE-627 rakwb eng Mukaida, Mashiho verfasserin aut Approximated unsharp masking on equi-hue plane in RGB color space 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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. Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213 Suetake, Noriaki (orcid)0000-0003-3673-9539 aut Enthalten in Optical review Tokyo : Business Center for Acad. Soc., 1994 30(2023), 5 vom: 30. Aug., Seite 516-525 (DE-627)320485935 (DE-600)2010420-0 1349-9432 nnns volume:30 year:2023 number:5 day:30 month:08 pages:516-525 https://dx.doi.org/10.1007/s10043-023-00838-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 30 2023 5 30 08 516-525
language	English
source	Enthalten in Optical review 30(2023), 5 vom: 30. Aug., Seite 516-525 volume:30 year:2023 number:5 day:30 month:08 pages:516-525
sourceStr	Enthalten in Optical review 30(2023), 5 vom: 30. Aug., Seite 516-525 volume:30 year:2023 number:5 day:30 month:08 pages:516-525
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Unsharp masking Image sharpening Hue preserving Equi-hue plane Gamut
isfreeaccess_bool	false
container_title	Optical review
authorswithroles_txt_mv	Mukaida, Mashiho @@aut@@ Suetake, Noriaki @@aut@@
publishDateDaySort_date	2023-08-30T00:00:00Z
hierarchy_top_id	320485935
id	SPR053246098
language_de	englisch
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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. 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author	Mukaida, Mashiho
spellingShingle	Mukaida, Mashiho misc Unsharp masking misc Image sharpening misc Hue preserving misc Equi-hue plane misc Gamut Approximated unsharp masking on equi-hue plane in RGB color space
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topic_title	Approximated unsharp masking on equi-hue plane in RGB color space Unsharp masking (dpeaa)DE-He213 Image sharpening (dpeaa)DE-He213 Hue preserving (dpeaa)DE-He213 Equi-hue plane (dpeaa)DE-He213 Gamut (dpeaa)DE-He213
topic	misc Unsharp masking misc Image sharpening misc Hue preserving misc Equi-hue plane misc Gamut
topic_unstemmed	misc Unsharp masking misc Image sharpening misc Hue preserving misc Equi-hue plane misc Gamut
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title	Approximated unsharp masking on equi-hue plane in RGB color space
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title_full	Approximated unsharp masking on equi-hue plane in RGB color space
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title_sort	approximated unsharp masking on equi-hue plane in rgb color space
title_auth	Approximated unsharp masking on equi-hue plane in RGB color space
abstract	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. © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	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. © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	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. © The Optical Society of Japan 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Approximated unsharp masking on equi-hue plane in RGB color space
url	https://dx.doi.org/10.1007/s10043-023-00838-4
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author2	Suetake, Noriaki
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doi_str	10.1007/s10043-023-00838-4
up_date	2024-07-03T18:07:42.198Z
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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. 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