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 |
| Summary: | 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%. |
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