Study on degraded image sharpening method

In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Yuan Sun [verfasserIn] Hanyu Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method

Übergeordnetes Werk:	In: The Journal of Engineering - Wiley, 2013, (2019)
Übergeordnetes Werk:	year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1049/joe.2018.9195

Katalog-ID:	DOAJ061074918

Internformat


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publishDate	2019
allfields	10.1049/joe.2018.9195 doi (DE-627)DOAJ061074918 (DE-599)DOAJe2ecb451c2e14b66a3eb201852f6c94f DE-627 ger DE-627 rakwb eng TA1-2040 Yuan Sun verfasserin aut Study on degraded image sharpening method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening. image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General) Hanyu Wang verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.9195 kostenfrei https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
spelling	10.1049/joe.2018.9195 doi (DE-627)DOAJ061074918 (DE-599)DOAJe2ecb451c2e14b66a3eb201852f6c94f DE-627 ger DE-627 rakwb eng TA1-2040 Yuan Sun verfasserin aut Study on degraded image sharpening method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening. image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General) Hanyu Wang verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.9195 kostenfrei https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfields_unstemmed	10.1049/joe.2018.9195 doi (DE-627)DOAJ061074918 (DE-599)DOAJe2ecb451c2e14b66a3eb201852f6c94f DE-627 ger DE-627 rakwb eng TA1-2040 Yuan Sun verfasserin aut Study on degraded image sharpening method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening. image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General) Hanyu Wang verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.9195 kostenfrei https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfieldsGer	10.1049/joe.2018.9195 doi (DE-627)DOAJ061074918 (DE-599)DOAJe2ecb451c2e14b66a3eb201852f6c94f DE-627 ger DE-627 rakwb eng TA1-2040 Yuan Sun verfasserin aut Study on degraded image sharpening method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening. image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General) Hanyu Wang verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.9195 kostenfrei https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
allfieldsSound	10.1049/joe.2018.9195 doi (DE-627)DOAJ061074918 (DE-599)DOAJe2ecb451c2e14b66a3eb201852f6c94f DE-627 ger DE-627 rakwb eng TA1-2040 Yuan Sun verfasserin aut Study on degraded image sharpening method 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening. image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General) Hanyu Wang verfasserin aut In The Journal of Engineering Wiley, 2013 (2019) (DE-627)75682270X (DE-600)2727074-9 20513305 nnns year:2019 https://doi.org/10.1049/joe.2018.9195 kostenfrei https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f kostenfrei https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 kostenfrei https://doaj.org/toc/2051-3305 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 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_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2019
language	English
source	In The Journal of Engineering (2019) year:2019
sourceStr	In The Journal of Engineering (2019) year:2019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method Engineering (General). Civil engineering (General)
isfreeaccess_bool	true
container_title	The Journal of Engineering
authorswithroles_txt_mv	Yuan Sun @@aut@@ Hanyu Wang @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	75682270X
id	DOAJ061074918
language_de	englisch
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callnumber-first	T - Technology
author	Yuan Sun
spellingShingle	Yuan Sun misc TA1-2040 misc image restoration misc image enhancement misc tuning parameter misc adjustable threshold misc objective evaluation methods misc image restoration techniques misc image enhancement techniques misc foreign scholars misc domestic scholars misc degraded image sharpening method misc Engineering (General). Civil engineering (General) Study on degraded image sharpening method
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topic_title	TA1-2040 Study on degraded image sharpening method image restoration image enhancement tuning parameter adjustable threshold objective evaluation methods image restoration techniques image enhancement techniques foreign scholars domestic scholars degraded image sharpening method
topic	misc TA1-2040 misc image restoration misc image enhancement misc tuning parameter misc adjustable threshold misc objective evaluation methods misc image restoration techniques misc image enhancement techniques misc foreign scholars misc domestic scholars misc degraded image sharpening method misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc image restoration misc image enhancement misc tuning parameter misc adjustable threshold misc objective evaluation methods misc image restoration techniques misc image enhancement techniques misc foreign scholars misc domestic scholars misc degraded image sharpening method misc Engineering (General). Civil engineering (General)
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title	Study on degraded image sharpening method
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title_full	Study on degraded image sharpening method
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title_sort	study on degraded image sharpening method
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title_auth	Study on degraded image sharpening method
abstract	In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening.
abstractGer	In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening.
abstract_unstemmed	In industrial practice, images are often collected for study. In bad weather, the images collected may be degraded to different extents. Therefore, it is necessary to study how to sharpen these degraded images. Presently, domestic and foreign scholars mostly realise sharpening of degraded images by improving and optimising the existing classic algorithms based on image enhancement techniques and image restoration techniques. Meanwhile, subjective and objective evaluation methods for image sharpening effects have also been proposed. The article presents an image enhancement algorithm with adjustable threshold and tuning parameter and verifies this algorithm through experiment by subjective and objective evaluation methods, proposing a new solution for degraded image sharpening.
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title_short	Study on degraded image sharpening method
url	https://doi.org/10.1049/joe.2018.9195 https://doaj.org/article/e2ecb451c2e14b66a3eb201852f6c94f https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9195 https://doaj.org/toc/2051-3305
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up_date	2024-07-03T18:41:20.909Z
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Study on degraded image sharpening method

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