Color Image Enhancement Using Weighted Multi-Scale Compensation based on the Gray World Assumption

Yoo, Ji-Hoon; Kyung, Wang-Jun; Choi, Jae Seung; Ha, Yeong-Ho

doi:10.2352/j.imagingsci.technol.2017.61.3.030507

Cited by 3 publications

(2 citation statements)

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“…A color image enhancement method, which applies a weighted multiscale compensation based on the GW assumption, is presented in Ref. 247. ACE algorithm is used to make comparison with the proposed algorithm, due to its ability in preserving color constancy.…”

Section: Image Enhancementmentioning

confidence: 99%

Scoping review on automatic color equalization algorithm

2021

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Digital image processing is at the base of everyday applications aiding humans in several fields, such as underwater monitoring, analysis of cultural heritage drawings, and medical imaging for computer-aided diagnosis. The starting point of all such application regards the image enhancement step. A desirable image enhancement step should simultaneously standardize the illumination in the image set, possibly removing bad or not-uniform illumination effects, and reveal all hidden details. In 2002, a successful perceptual image enhancement model, the automatic color equalization (ACE) algorithm, was proposed, which mimics the color and contrast adjustment of the human visual system (HVS). Given its widespread usage, its correlation with the HVS, and since it is easily implementable, we propose a scoping review to identify and classify the available evidence on ACE, starting from the papers citing the two funding papers on the algorithm. The aim of this work is the identification of what extent and in which ways ACE may have influenced the research in the color imaging field. Thanks to an accurate process of papers tagging, classification, and validation, we provide an overview of the main application domains in which ACE was successfully used and of the different ways in which this algorithm was implemented, modified, used, or compared.

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Section: Image Enhancementmentioning

confidence: 99%

Scoping review on automatic color equalization algorithm

2021

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“…Many methods have been developed to detect and restore colour cast images in the literature such as grey world [3, 4], white patch [5, 6], neural network [7, 8], equivalent circle algorithm [9] and so on. Grey world method calculates weighting values in red, green and blue (RGB) colour space for colour correction by matching the colour average with a grey reference value.…”

Section: Introductionmentioning

confidence: 99%

Modified grey world method to detect and restore colour cast images

Liu

Chen

2019

IET Image Processing

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This study proposes a new, simple but effective technique to detect and restore colour cast images, named modified grey world method. This method detects colour cast images of outdoor surveillance videos by computing the values in the YUV colour space, which makes it much easier than classic methods. Specific colour cast can be found out by calculating the hue values. Additionally, this method can detect not only simple colour cast images but also multiple colour cast images simultaneously. To detect and restore a colour cast image, the authors first remove all grey pixels and separate it into multiple parts with a maze-solving algorithm. Then, they compute the YUV colour values of each part. If the values are too high or too low, this part of the input image is designated as a colour cast. Finally, they carry out a restoration procedure, in which they calculate weights by matching average colour value with a grey reference value in YUV colour space. This method has been tested in the Safety City surveillance system in Wuhan city, China. The results show that the proposed method leads to better results in detecting and restoring colour cast imaging than classic methods in outdoor surveillance videos.

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Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint

Liu

Xie

et al. 2021

IEEE Trans. Cybern.

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Color Image Enhancement Using Weighted Multi-Scale Compensation based on the Gray World Assumption

Cited by 3 publications

References 0 publications

Scoping review on automatic color equalization algorithm

Scoping review on automatic color equalization algorithm

Modified grey world method to detect and restore colour cast images

Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint

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