Performance comparison of colour correction and colour grading algorithm for medical imaging applications
Different types of image acquisition devices render different measure of colour depending on the specification of devices; even a same device will give different values of colours rendered, taking at certain duration of times. Most of the researches nowadays have attempted to solve these limitatio...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/19079/ http://journalarticle.ukm.my/19079/1/21.pdf |
| _version_ | 1848814743313186816 |
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| author | Nur Diyana Kamarudin, Muhammad Azrae Yusof, Mohd Shahrizal Rusli, Ooi, Chia Yee Syarifah Bahiyah Rahayu Syed Mansoor, Afiqah Mohd Azahari, Zuraini Zainol, Kamaruddin Abd Ghani, Siti Noormiza Makhtar, |
| author_facet | Nur Diyana Kamarudin, Muhammad Azrae Yusof, Mohd Shahrizal Rusli, Ooi, Chia Yee Syarifah Bahiyah Rahayu Syed Mansoor, Afiqah Mohd Azahari, Zuraini Zainol, Kamaruddin Abd Ghani, Siti Noormiza Makhtar, |
| author_sort | Nur Diyana Kamarudin, |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | Different types of image acquisition devices render different measure of colour depending on the specification of devices;
even a same device will give different values of colours rendered, taking at certain duration of times. Most of the
researches nowadays have attempted to solve these limitations and the researches of colour correction algorithm has
been evolved recently. Colour correction algorithm has been widely used in various fields such as food industry, medical
imaging, forensic cyber applications, film industries etc. In medical imaging, researchers have considered colour
correction as an essential part in their pre-processing step prior to diagnosis. There are various statistical methods in
colour correction and colour grading algorithm being implemented nowadays and finding the best algorithm with high
accuracy is non-trivial. This paper presents comparative analyses of colour correction techniques that combine colour
correction and colour grading algorithm using conventional gamma correction, polynomial regression, and proposed
polynomial regression with modified gamma Look-up Table (pgLUT). It has been observed that our proposed pgLUT
colour correction algorithm outperformed the conventional methods by 16.5%. |
| first_indexed | 2025-11-15T00:38:56Z |
| format | Article |
| id | oai:generic.eprints.org:19079 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:38:56Z |
| publishDate | 2021 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:190792022-07-26T04:18:00Z http://journalarticle.ukm.my/19079/ Performance comparison of colour correction and colour grading algorithm for medical imaging applications Nur Diyana Kamarudin, Muhammad Azrae Yusof, Mohd Shahrizal Rusli, Ooi, Chia Yee Syarifah Bahiyah Rahayu Syed Mansoor, Afiqah Mohd Azahari, Zuraini Zainol, Kamaruddin Abd Ghani, Siti Noormiza Makhtar, Different types of image acquisition devices render different measure of colour depending on the specification of devices; even a same device will give different values of colours rendered, taking at certain duration of times. Most of the researches nowadays have attempted to solve these limitations and the researches of colour correction algorithm has been evolved recently. Colour correction algorithm has been widely used in various fields such as food industry, medical imaging, forensic cyber applications, film industries etc. In medical imaging, researchers have considered colour correction as an essential part in their pre-processing step prior to diagnosis. There are various statistical methods in colour correction and colour grading algorithm being implemented nowadays and finding the best algorithm with high accuracy is non-trivial. This paper presents comparative analyses of colour correction techniques that combine colour correction and colour grading algorithm using conventional gamma correction, polynomial regression, and proposed polynomial regression with modified gamma Look-up Table (pgLUT). It has been observed that our proposed pgLUT colour correction algorithm outperformed the conventional methods by 16.5%. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/19079/1/21.pdf Nur Diyana Kamarudin, and Muhammad Azrae Yusof, and Mohd Shahrizal Rusli, and Ooi, Chia Yee and Syarifah Bahiyah Rahayu Syed Mansoor, and Afiqah Mohd Azahari, and Zuraini Zainol, and Kamaruddin Abd Ghani, and Siti Noormiza Makhtar, (2021) Performance comparison of colour correction and colour grading algorithm for medical imaging applications. Jurnal Kejuruteraan, 4 (1(SI)). pp. 167-172. ISSN 0128-0198 https://www.ukm.my/jkukm/si-41-2021/ |
| spellingShingle | Nur Diyana Kamarudin, Muhammad Azrae Yusof, Mohd Shahrizal Rusli, Ooi, Chia Yee Syarifah Bahiyah Rahayu Syed Mansoor, Afiqah Mohd Azahari, Zuraini Zainol, Kamaruddin Abd Ghani, Siti Noormiza Makhtar, Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title | Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title_full | Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title_fullStr | Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title_full_unstemmed | Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title_short | Performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| title_sort | performance comparison of colour correction and colour grading algorithm for medical imaging applications |
| url | http://journalarticle.ukm.my/19079/ http://journalarticle.ukm.my/19079/ http://journalarticle.ukm.my/19079/1/21.pdf |