TELKOMNIKA Telecommunication Computing Electronics and Control
Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images
Dublin Core
Title
TELKOMNIKA Telecommunication Computing Electronics and Control
Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images
Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images
Subject
Enhancement
Multi-contrast images
Rubeosis iridis
Suppression
Multi-contrast images
Rubeosis iridis
Suppression
Description
Existing researchers for rubeosis iridis disease focused on image
enhancement as a collective group without considering the multi-contrast of
the images. In this paper, the pre-enhancement process was proposed to
improve the quality of iris images for rubeosis iridis disease by separating
the image into three groups; low, medium and high contrast. Increment,
decrement and maintenance of the images’ original contrast were further
operated by noise reduction and multi-contrast manipulation to attain the
best contrast value in each category for increased compatibility prior
subsequent enhancement. As a result, this study proved that there have three
rules for the contrast modification method. Firstly, the histogram
equalization (HE) filter and increasing the image contrast by 50% will
achieve the optimum value for the low contrast category. Experimental
revealed that HE filters successfully increase the luminance value before
undergoing the contrast modification method. Secondly, reducing the 50% of
the image contrast to achieve the optimum value for the high contrast category.
Finally, the image contrast was maintained for the middle contrast category to
optimise contrast. The mean square error (MSE) and peak signal-to-noise ratio
(PSNR) of the outputs were then calculated, yielding an average of 18.25 and
28.87, respectively.
enhancement as a collective group without considering the multi-contrast of
the images. In this paper, the pre-enhancement process was proposed to
improve the quality of iris images for rubeosis iridis disease by separating
the image into three groups; low, medium and high contrast. Increment,
decrement and maintenance of the images’ original contrast were further
operated by noise reduction and multi-contrast manipulation to attain the
best contrast value in each category for increased compatibility prior
subsequent enhancement. As a result, this study proved that there have three
rules for the contrast modification method. Firstly, the histogram
equalization (HE) filter and increasing the image contrast by 50% will
achieve the optimum value for the low contrast category. Experimental
revealed that HE filters successfully increase the luminance value before
undergoing the contrast modification method. Secondly, reducing the 50% of
the image contrast to achieve the optimum value for the high contrast category.
Finally, the image contrast was maintained for the middle contrast category to
optimise contrast. The mean square error (MSE) and peak signal-to-noise ratio
(PSNR) of the outputs were then calculated, yielding an average of 18.25 and
28.87, respectively.
Creator
Rohana Abdul Karim, Nurul Wahidah Arshad, Yasmin Abdul Wahab
Source
http://telkomnika.uad.ac.id
Date
Feb 16, 2023
Contributor
PERI IRAWAN
Format
PDF
Language
ENGLISH
Type
TEXT
Files
Collection
Citation
Rohana Abdul Karim, Nurul Wahidah Arshad, Yasmin Abdul Wahab, “TELKOMNIKA Telecommunication Computing Electronics and Control
Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4560.
Contrast modification for pre-enhancement process in multi contrast rubeosis iridis images,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4560.