Wide Color-Gamut Improvement With Skin Protection Using Content-Based Analysis for Display Systems

Lai, Yeong−Kang; Lee, Shu-Ming

doi:10.1109/jdt.2012.2220334

Cited by 16 publications

(2 citation statements)

References 9 publications

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“…Skin detection is one of the most active areas of research such as in human-computer interaction, monitoring, and imaging systems [1][2][3]. Numerous methods have been proposed for automatic skin detection [4][5][6], which can be roughly divided into two categories: statistical methods and dynamic adaptive methods.…”

Section: Introductionmentioning

confidence: 99%

Adaptive skin detection using face location and facial structure estimation

Luo

Guan

2017

IET Computer Vision

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Reliable and accurate facial skin extraction is the most critical and urgent issue for adaptive skin detection. Aiming at resolving this issue, the authors propose an adaptive skin detection method using face location and facial structure estimation. The face location algorithm is developed to improve the reliability of face detection and extract a face region with a high proportion of skin. Facial structure estimation is exploited to further reduce the impact of non-skin factors on dynamic skin colour modelling. The colour space distribution model of extracted facial skin is very close to that of real facial skin. Finally, the skin in an image is obtained by using a hybrid colour space strategy. Extensive experimental comparisons with some state-of-the-art methods have shown the superior performance of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Adaptive skin detection using face location and facial structure estimation

Luo

Guan

2017

IET Computer Vision

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“…T O ACHIEVE high performance and low power in active-matrix liquid crystal displays (AMLCDs), it is necessary to consider many factors: response characteristics [1]- [4], color gamut [5], [6], wide viewing angle [7]- [9], and so on. Among these, the response characteristics of liquid crystals (LCs) are one of the key factors in determining the performance of LCDs.…”

Section: Introductionmentioning

confidence: 99%

A Simple Overdrive Technology Using Behavioral Circuit Model for Liquid Crystal Displays

Jeon

Kim

Lee

2016

IEEE Trans. Electron Devices

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This paper proposes a new method to determine the overdrive (OD) values using a behavioral circuit model. Based on the accurate prediction of overdriven transitions in the behavioral circuit model, the proposed method enables us to obtain the OD values easily. The proposed method requires only three OD values to complete all the OD values. The estimated OD values agree with the measured OD values. The average OD deviation was only 1.60 over all data transitions. Index Terms-Behavioral circuit model, liquid crystal display overdrive (OD), response time.

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The Development and Application of Video’s Color Gamut Test Sequence

Wang

et al. 2013

The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems

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Wide Color-Gamut Improvement With Skin Protection Using Content-Based Analysis for Display Systems

Cited by 16 publications

References 9 publications

Adaptive skin detection using face location and facial structure estimation

Adaptive skin detection using face location and facial structure estimation

A Simple Overdrive Technology Using Behavioral Circuit Model for Liquid Crystal Displays

The Development and Application of Video’s Color Gamut Test Sequence

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