Comparative color gamut analysis of xvYCC standard

Because the trichromatic coordinates of the laser display devices used in the wide gamut and are greatly different from the exiting television (TV) signals. Therefore when the TV signals is input to drive the laser display device, color distortion and color deviation may occur to influence the subjective experience. In order to solve this problem, it is necessary to input signals under a certain rule to expand the small color gamut to the large color gamut for the laser display devices. The gamut expansion mapping method is studied to show better color performance for human perception based on laser display device.

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“…The algorithm for determining whether or not a point is located in a tetrahedron is based on geometric theory [5].…”

Section: Gamut Expansion Algorithmmentioning

confidence: 99%

29.6: Research on Gamut Expansion Mapping Method Based on Laser Display Device

Guo

Liu

Qiao

2019

Symp Digest of Tech Papers

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“…The textural analysis can be considered as one of applicable techniques for extracting image features [28]. The Colour Co-occurrence Matrix (CCM) procedure consists of three primary mathematical processes: (1) the image is transformed from RGB colour representation to other colour representation such as gray [29], HSL and HSV [30], L*a*b* and XYZ [31], LCH [32] and Luv [33]; (2) generation of Spatial Gray-Level Dependence Matrices (SGDMs) [34], resulting in one CCM for each colour space, the CCM was calculated based on normalization value; and (3) determination of ten Haralick Textural Features [35]. Ten Haralick's TFs are as follows:…”

Section: Textural Features (Tfs)mentioning

confidence: 99%

Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status

Hendrawan¹,

Riza²

2016

International Journal on Advanced Science, Engineering and Information Technology

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Machine vision has been widely implemented to monitor water status of plants. The performance of machine vision affects the prediction process of plant water status. Therefore optimization is needed to improve the performance of machine vision. The objective of this study is to optimize the performance of machine vision to model Sunagoke moss water status. Back Propagation Neural Network was used to model the relationship of image features and Sunagoke moss water status. Multi Objective Optimization (MOO) was used to select 212 image features to get maximum prediction accuracy and minimum number of features subset. Nine nature-inspired algorithms for optimization i.e. Genetic Algorithms (GAs), Discrete Particle Swarm Optimization (DPSO), Honey Bees Mating Optimization (HBMO), Simulated Annealing (SA), Ant Colony Optimization (ACO), Intelligent Water Drops (IWD), Discrete Firefly Algorithm (DFA), Discrete Hungry Roach Infestation Optimization (DHRIO), and Fish Swarm Intelligent (FSI) were compared. The result shows generally that the prediction model using feature selection techniques achieved significant prediction accuracy, and the number of feature-subset, and was better than the model without feature selection to predict Sunagoke moss water status.

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“…Formulas (6) indicate that the DC offsets are different from those used by standard ITU-R BT.1361 and IEC61966-2-4.…”

Section: B New Signal Processing Systemmentioning

confidence: 99%

“…The primary goal of this standard is to encode the extended color gamut so that the capturing and reproducing range of devices can be extended. However Moon-Cheol Kim [6]studied the color gamut of standard xvYCC, and considered that the defined signal range of xvYCC is so large that parts of which can never be used in real application.…”

Section: Introductionmentioning

confidence: 99%

New HDTV Signal Processing System for Extended Gamut Transmission

2009

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing

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A new HDTV signal processing system for extended gamut signal transmission is proposed in this paper. The system has determined the gamut of Pointer colors as target gamut, and transmit all Pointer colors by designing a new set of chroma signal. Moreover, the capability of decreasing color difference of the new system is evaluated. Compared with the system of ITU-R BT.1361, the average color difference 00 E * Δ was calculated according to CIEDE2000, and 00 E * Δ is 2755 0. for the new system, while 00 E * Δ is 5011 0. for the system with ITU-R BT.1361.

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Comparative color gamut analysis of xvYCC standard

Cited by 12 publications

References 11 publications

29.6: Research on Gamut Expansion Mapping Method Based on Laser Display Device

29.6: Research on Gamut Expansion Mapping Method Based on Laser Display Device

Machine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status

New HDTV Signal Processing System for Extended Gamut Transmission

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