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Enhancing the low quality images using unsupervised colour correction method

Underwater images are affected by reduced contrast and non-uniform colour cast due to the absorption and scattering of light in the aquatic environment. This affects the quality and reliability of image processing and therefore colour correction is a necessary pre-processing stage. In this paper, we...

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Main Authors:	K., Iqbal,, M., Odetayo,, A., James,, R.A., Salam,, A.Z.Hj., Talib,
Format:	Conference Paper
Language:	en_US
Published:	2015
Subjects:	Colour balancing Colour cast correction Contrast correction Image enhancement
Online Access:	http://ddms.usim.edu.my/handle/123456789/9192
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id	my.usim-9192
record_format	dspace
spelling	my.usim-91922015-08-25T04:29:30Z Enhancing the low quality images using unsupervised colour correction method K., Iqbal, M., Odetayo, A., James, R.A., Salam, A.Z.Hj., Talib, Colour balancing Colour cast correction Contrast correction Image enhancement Underwater images are affected by reduced contrast and non-uniform colour cast due to the absorption and scattering of light in the aquatic environment. This affects the quality and reliability of image processing and therefore colour correction is a necessary pre-processing stage. In this paper, we propose an Unsupervised Colour Correction Method (UCM) for underwater image enhancement. UCM is based on colour balancing, contrast correction of RGB colour model and contrast correction of HSI colour model. Firstly, the colour cast is reduced by equalizing the colour values. Secondly, an enhancement to a contrast correction method is applied to increase the Red colour by stretching red histogram towards the maximum (i.e., right side), similarly the Blue colour is reduced by stretching the blue histogram towards the minimum (i.e., left side). Thirdly, the Saturation and Intensity components of the HSI colour model have been applied for contrast correction to increase the true colour using Saturation and to address the illumination problem through Intensity. We compare our results with three well known methods, namely Gray World, White Patch and Histogram Equalisation using Adobe Photoshop. The proposed method has produced better results than the existing methods. ©2010 IEEE. 2015-08-25T04:29:30Z 2015-08-25T04:29:30Z 2010-01-01 Conference Paper 9781-4244-6588-0 1062-922X http://ddms.usim.edu.my/handle/123456789/9192 en_US
institution	Universiti Sains Islam Malaysia
building	USIM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universit Sains Islam i Malaysia
content_source	USIM Institutional Repository
url_provider	http://ddms.usim.edu.my/
language	en_US
topic	Colour balancing Colour cast correction Contrast correction Image enhancement
spellingShingle	Colour balancing Colour cast correction Contrast correction Image enhancement K., Iqbal, M., Odetayo, A., James, R.A., Salam, A.Z.Hj., Talib, Enhancing the low quality images using unsupervised colour correction method
description	Underwater images are affected by reduced contrast and non-uniform colour cast due to the absorption and scattering of light in the aquatic environment. This affects the quality and reliability of image processing and therefore colour correction is a necessary pre-processing stage. In this paper, we propose an Unsupervised Colour Correction Method (UCM) for underwater image enhancement. UCM is based on colour balancing, contrast correction of RGB colour model and contrast correction of HSI colour model. Firstly, the colour cast is reduced by equalizing the colour values. Secondly, an enhancement to a contrast correction method is applied to increase the Red colour by stretching red histogram towards the maximum (i.e., right side), similarly the Blue colour is reduced by stretching the blue histogram towards the minimum (i.e., left side). Thirdly, the Saturation and Intensity components of the HSI colour model have been applied for contrast correction to increase the true colour using Saturation and to address the illumination problem through Intensity. We compare our results with three well known methods, namely Gray World, White Patch and Histogram Equalisation using Adobe Photoshop. The proposed method has produced better results than the existing methods. ©2010 IEEE.
format	Conference Paper
author	K., Iqbal, M., Odetayo, A., James, R.A., Salam, A.Z.Hj., Talib,
author_facet	K., Iqbal, M., Odetayo, A., James, R.A., Salam, A.Z.Hj., Talib,
author_sort	K., Iqbal,
title	Enhancing the low quality images using unsupervised colour correction method
title_short	Enhancing the low quality images using unsupervised colour correction method
title_full	Enhancing the low quality images using unsupervised colour correction method
title_fullStr	Enhancing the low quality images using unsupervised colour correction method
title_full_unstemmed	Enhancing the low quality images using unsupervised colour correction method
title_sort	enhancing the low quality images using unsupervised colour correction method
publishDate	2015
url	http://ddms.usim.edu.my/handle/123456789/9192
_version_	1645152559955968000
score	13.211869

Enhancing the low quality images using unsupervised colour correction method

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