2020
DOI: 10.1109/access.2020.3019354
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Color Correction Based on CFA and Enhancement Based on Retinex With Dense Pixels for Underwater Images

Abstract: Color correction and enhancement for underwater images is challenging due to attenuation and scattering. The underwater images often have low visibility and suffer from color bias. This paper presents a novel color correction method based on color filter array (CFA) and an enhancement method based on Retinex with dense pixels and adaptive linear histogram transformation for degraded color-biased underwater images. For any digital image in the RGB space, which is captured by digital camera with CFA, their RGB v… Show more

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Cited by 45 publications
(16 citation statements)
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References 56 publications
(79 reference statements)
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“…Later, the Improved UWB (IUWB) methods [7] improved the color compensation based on the standard deviation ratio and proposed a mean adjustment method to ensure the means of the blue and red channels were equivalent to that of the green channel. Besides, the Color Filter Array (CFA) based method [6] proposed to compensate the red channel based on the blue and green channels. Other than the Red, Green, Blue (RGB) channel compensation, the Color Channel Transfer (CCT) method [3] proposed to recompense the International Commission on Illumination L*a*b* (CIELab) channels through the color transfer due to the observation that D N L Yao 1* , A Bade 1 , and Z Waheed 2…”
Section: Literature Reviewmentioning
confidence: 99%
“…Later, the Improved UWB (IUWB) methods [7] improved the color compensation based on the standard deviation ratio and proposed a mean adjustment method to ensure the means of the blue and red channels were equivalent to that of the green channel. Besides, the Color Filter Array (CFA) based method [6] proposed to compensate the red channel based on the blue and green channels. Other than the Red, Green, Blue (RGB) channel compensation, the Color Channel Transfer (CCT) method [3] proposed to recompense the International Commission on Illumination L*a*b* (CIELab) channels through the color transfer due to the observation that D N L Yao 1* , A Bade 1 , and Z Waheed 2…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is an ideal choice for human eyes to enhance the overall saturation and color brightness of images. Compared with the enhanced images of different enhancement algorithms, there are varying degrees of shift in the reference method [4] and the reference method [16], and yellow shift in the reference method [17], which indicates that these algorithms have poor color correction effects on underwater images with different depth of field. There is obvious blue deviation in C of the enhancement results of reference method [2].…”
Section: 1subjective Evaluationmentioning
confidence: 99%
“…However, due to the change of underwater environment, different underwater images have different characteristics and have certain shortcomings. For example, Fu's method is too simple, Chen's method cannot distinguish different underwater backgrounds caused by different depth of field [2][3][4][5].…”
Section: Introductionmentioning
confidence: 99%
“…In 2020, Changli Li et al [2], presented a new color correction approach based on CFA. Moreover, they had also presented a developed approach on the basis of the Retinex with dense pixels as well as the transformation of the adaptive linear histogram for degraded color-biased UI.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, the valuable information extraction for underwater scenes needs effectual techniques to rectify the color, enhance the clarity and identify blurring as well as background scattering that is the aspire of image restoration as well as enhancement techniques [8], [9]. Because of the complex underwater environment, these are specifically confronted, wherein degrading of images are occurred by the manipulation of absorption of light, water turbidity, as well as scattering that might alter extensively [2].…”
Section: Introductionmentioning
confidence: 99%