Color enhancement for faded images based on multi-scale gray world algorithm

Kyung, Wang-Jun; Kim, Dae-Chul; Ha, Ho-Gun; Ha, Yeong-Ho

doi:10.1109/isce.2012.6241722

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…One of the most well-known algorithms that used to remove the color cast is based on GW hypothesis that was proposed by Buchsbaum [25]. GW method has been widely used in atmospheric images [26] to remove color cast. In some cases, after the removal of the color cast, color correction is applied [27].…”

Section: Related Workmentioning

confidence: 99%

An Integrated Method to Remove Color Cast and Contrast Enhancement for Underwater Image

Wong

Raveendran

Yoshida

et al. 2019

IEICE Trans. Fundamentals

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Light scattering and absorption of light in water cause underwater images to be poorly contrasted, haze and dominated by a single color cast. A solution to this is to find methods to improve the quality of the image that eventually leads to better visualization. We propose an integrated approach using Adaptive Gray World (AGW) and Differential Gray-Levels Histogram Equalization for Color Images (DHECI) to remove the color cast as well as improve the contrast and colorfulness of the underwater image. The AGW is an adaptive version of the GW method where apart from computing the global mean, the local mean of each channel of an image is taken into consideration and both are weighted before combining them. It is applied to remove the color cast, thereafter the DHECI is used to improve the contrast and colorfulness of the underwater image. The results of the proposed method are compared with seven state-of-the-art methods using qualitative and quantitative measures. The experimental results showed that in most cases the proposed method produced better quantitative scores than the compared methods.

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Section: Related Workmentioning

confidence: 99%

An Integrated Method to Remove Color Cast and Contrast Enhancement for Underwater Image

Wong

Raveendran

Yoshida

et al. 2019

IEICE Trans. Fundamentals

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“…Instead of the frequently used and well known methods -such as Retinex [17], GrayWorld [10][15] [16], MaxWhite [15] is uses a combined method which can be found in the literature [16]. This method keeps the advantages of the just mentioned basic methods, but it gets rid of their drawbacks.…”

Section: A Color Handlingmentioning

confidence: 99%

Human-machine interaction based on augmented reality

Pozsegovics

Vamossy

2013

2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI)

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With the evolution of the hardware devices and with fast growth of the available amount of information, the demands against these devices have been changed. The two main aspects which are quiet important nowadays, are the mobility and of course the utility. The augmented reality was a really popular research topic in the '90-s, but the technological background has just reached the appropriate level to support this part of research the area. This paper interprets the interaction in the widest sense so the topic of data input and visualization will be also discussed. The main goal of this paper to introduce a prototype of our augmented reality based demonstration system. I. INTRODUCTIONIn the recent times a spectacular evolution of peripherals could be observed and due to that very efficient devices have come off. There are a lot of approaches regarding to interaction -e. g. processing of the humans' brain signals, measure the movement of the limbs or even the eyeballs -which could not be realized without the appropriate hardware background. The bulk of these devices supports the daily activities of the users, e. g. supports the coordination, provides relevant information regarding to the given situation, warn for emergency situations or even interesting things. It is enough to think of the medical, military and civil applications, where a lot of researches are ongoing [1][3][4][5][6][7][8][25][26][27][28][29] [31].There are three main aspects amongst which has to be designed such a system. These are the preparation of the scenes, portability and finally the 3D registration.In the following sections there will be discussed shortly that three main aspect which has to be taken into consideration in the design phase -namely the scene generating, portability and the 3D registration. After that we introduce our proposed system. There will be also discussed the theoretical background of the used algorithms and the environmental details concerning the development.In the third section the results will be shown and the consequences will be discussed that are deducted from them. Finally there is a comparison between our system and the existing solutions.

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