Color image enhancement with brightness preservation using a histogram specification approach
Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiang, G. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment - Cheng, Cheng ELSEVIER, 2020, international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy, München |
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| Übergeordnetes Werk: |
volume:126 ; year:2015 ; number:24 ; pages:5656-5664 ; extent:9 |
| Links: |
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| DOI / URN: |
10.1016/j.ijleo.2015.08.173 |
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| 520 | |a Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. | ||
| 520 | |a Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. | ||
| 650 | 7 | |a Profile specification |2 Elsevier | |
| 650 | 7 | |a Contrast enhancement |2 Elsevier | |
| 650 | 7 | |a Brightness preservation |2 Elsevier | |
| 650 | 7 | |a Histogram equalization |2 Elsevier | |
| 650 | 7 | |a Dynamic stretching |2 Elsevier | |
| 700 | 1 | |a Lin, S.C.F. |4 oth | |
| 700 | 1 | |a Wong, C.Y. |4 oth | |
| 700 | 1 | |a Rahman, M.A. |4 oth | |
| 700 | 1 | |a Ren, T.R. |4 oth | |
| 700 | 1 | |a Kwok, Ngaiming |4 oth | |
| 700 | 1 | |a Shi, Haiyan |4 oth | |
| 700 | 1 | |a Yu, Ying-Hao |4 oth | |
| 700 | 1 | |a Wu, Tonghai |4 oth | |
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10.1016/j.ijleo.2015.08.173 doi GBV00000000000038.pica (DE-627)ELV018995950 (ELSEVIER)S0030-4026(15)00940-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jiang, G. verfasserin aut Color image enhancement with brightness preservation using a histogram specification approach 2015transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Profile specification Elsevier Contrast enhancement Elsevier Brightness preservation Elsevier Histogram equalization Elsevier Dynamic stretching Elsevier Lin, S.C.F. oth Wong, C.Y. oth Rahman, M.A. oth Ren, T.R. oth Kwok, Ngaiming oth Shi, Haiyan oth Yu, Ying-Hao oth Wu, Tonghai oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:126 year:2015 number:24 pages:5656-5664 extent:9 https://doi.org/10.1016/j.ijleo.2015.08.173 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 126 2015 24 5656-5664 9 045F 620 |
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10.1016/j.ijleo.2015.08.173 doi GBV00000000000038.pica (DE-627)ELV018995950 (ELSEVIER)S0030-4026(15)00940-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jiang, G. verfasserin aut Color image enhancement with brightness preservation using a histogram specification approach 2015transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Profile specification Elsevier Contrast enhancement Elsevier Brightness preservation Elsevier Histogram equalization Elsevier Dynamic stretching Elsevier Lin, S.C.F. oth Wong, C.Y. oth Rahman, M.A. oth Ren, T.R. oth Kwok, Ngaiming oth Shi, Haiyan oth Yu, Ying-Hao oth Wu, Tonghai oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:126 year:2015 number:24 pages:5656-5664 extent:9 https://doi.org/10.1016/j.ijleo.2015.08.173 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 126 2015 24 5656-5664 9 045F 620 |
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10.1016/j.ijleo.2015.08.173 doi GBV00000000000038.pica (DE-627)ELV018995950 (ELSEVIER)S0030-4026(15)00940-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jiang, G. verfasserin aut Color image enhancement with brightness preservation using a histogram specification approach 2015transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Profile specification Elsevier Contrast enhancement Elsevier Brightness preservation Elsevier Histogram equalization Elsevier Dynamic stretching Elsevier Lin, S.C.F. oth Wong, C.Y. oth Rahman, M.A. oth Ren, T.R. oth Kwok, Ngaiming oth Shi, Haiyan oth Yu, Ying-Hao oth Wu, Tonghai oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:126 year:2015 number:24 pages:5656-5664 extent:9 https://doi.org/10.1016/j.ijleo.2015.08.173 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 126 2015 24 5656-5664 9 045F 620 |
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10.1016/j.ijleo.2015.08.173 doi GBV00000000000038.pica (DE-627)ELV018995950 (ELSEVIER)S0030-4026(15)00940-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jiang, G. verfasserin aut Color image enhancement with brightness preservation using a histogram specification approach 2015transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Profile specification Elsevier Contrast enhancement Elsevier Brightness preservation Elsevier Histogram equalization Elsevier Dynamic stretching Elsevier Lin, S.C.F. oth Wong, C.Y. oth Rahman, M.A. oth Ren, T.R. oth Kwok, Ngaiming oth Shi, Haiyan oth Yu, Ying-Hao oth Wu, Tonghai oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:126 year:2015 number:24 pages:5656-5664 extent:9 https://doi.org/10.1016/j.ijleo.2015.08.173 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 126 2015 24 5656-5664 9 045F 620 |
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10.1016/j.ijleo.2015.08.173 doi GBV00000000000038.pica (DE-627)ELV018995950 (ELSEVIER)S0030-4026(15)00940-7 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jiang, G. verfasserin aut Color image enhancement with brightness preservation using a histogram specification approach 2015transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. Profile specification Elsevier Contrast enhancement Elsevier Brightness preservation Elsevier Histogram equalization Elsevier Dynamic stretching Elsevier Lin, S.C.F. oth Wong, C.Y. oth Rahman, M.A. oth Ren, T.R. oth Kwok, Ngaiming oth Shi, Haiyan oth Yu, Ying-Hao oth Wu, Tonghai oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:126 year:2015 number:24 pages:5656-5664 extent:9 https://doi.org/10.1016/j.ijleo.2015.08.173 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 126 2015 24 5656-5664 9 045F 620 |
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Enthalten in Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment München volume:126 year:2015 number:24 pages:5656-5664 extent:9 |
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Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment |
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Color image enhancement with brightness preservation using a histogram specification approach |
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Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. |
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Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. |
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Enhancement of image quality is a primary requirement before visual based information can be used in various real-world and engineering applications. With regard to a faithful reproduction of the scene information, degradations resulting in losses of contrast have to be rectified where the efficient histogram equalization is frequently employed. Moreover, it is also necessary to maintain the brightness of the corrected image in order to truly represent the scene characteristics. In this work, an approach is proposed to specify a proper histogram profile such that image intensity values are adjusted accordingly and the output brightness is maintained close to the input image. Specifically, the equalization profile is shaped by finding a balancing control threshold through carrying out an integration of rectangular and triangular sections. Experiments are conducted using a large number of natural color images and compared to other available histogram based image enhancement methods. Results have shown that the proposed approach is able to accomplish a wide set of performance goals including information content, sharpness and color quality. |
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