The Experts below are selected from a list of 831 Experts worldwide ranked by ideXlab platform

G Hong - One of the best experts on this subject based on the ideXlab platform.

  • new algorithm for calculating Perceived Colour Difference of images
    The Imaging Science Journal, 2006
    Co-Authors: G Hong, M R Luo
    Abstract:

    AbstractFaithful Colour reproduction of digital images requires a reliable measure for comparison in order to evaluate the reproduction performance. The conventional methods attempt to apply CIE colorimetry-based Colour Difference equations, such as CIELAB, CMC, CIE94 and CIEDE2000, to complex images on a pixel-by-pixel basis, and calculate the overall Colour Difference as the averaged Difference of each pixel in the image. This method is simple and straightforward but often does not represent the Colour Difference Perceived by the human visual system. The present paper proposes a new algorithm for calculating the overall Colour Difference between a reproduced image and its original. The results obtained show that this new metric provides a quantitative measure that more closely corresponds to the Colour Difference Perceived by the human visual system.

  • A new algorithm for calculating Perceived Colour Difference of images
    2006
    Co-Authors: G Hong, Ronnier M. Luo
    Abstract:

    Faithful Colour reproduction of digital images requires a reliable measure to compare such images in order to evaluate the reproduction performance. The conventional methods attempt to apply the CIE Colorimetry based Colour Difference equations, such as CIELAB, CMC, CIE94 and CIEDE2000, to complex images on a pixel-by-pixel basis, and calculates the overall Colour Difference as the averaged Difference of each pixel in the image. This method is simple and straightforward but often does not represent the Colour Difference Perceived by human visual system. This paper proposes a new algorithm for calculating the overall Colour Difference between a reproduced image and its original. The results obtained show that this new metric provides a quantitative measure that more closely corresponds to the Colour Difference Perceived by human visual system

Ronnier M. Luo - One of the best experts on this subject based on the ideXlab platform.

  • A new algorithm for calculating Perceived Colour Difference of images
    2006
    Co-Authors: G Hong, Ronnier M. Luo
    Abstract:

    Faithful Colour reproduction of digital images requires a reliable measure to compare such images in order to evaluate the reproduction performance. The conventional methods attempt to apply the CIE Colorimetry based Colour Difference equations, such as CIELAB, CMC, CIE94 and CIEDE2000, to complex images on a pixel-by-pixel basis, and calculates the overall Colour Difference as the averaged Difference of each pixel in the image. This method is simple and straightforward but often does not represent the Colour Difference Perceived by human visual system. This paper proposes a new algorithm for calculating the overall Colour Difference between a reproduced image and its original. The results obtained show that this new metric provides a quantitative measure that more closely corresponds to the Colour Difference Perceived by human visual system

M R Luo - One of the best experts on this subject based on the ideXlab platform.

  • new algorithm for calculating Perceived Colour Difference of images
    The Imaging Science Journal, 2006
    Co-Authors: G Hong, M R Luo
    Abstract:

    AbstractFaithful Colour reproduction of digital images requires a reliable measure for comparison in order to evaluate the reproduction performance. The conventional methods attempt to apply CIE colorimetry-based Colour Difference equations, such as CIELAB, CMC, CIE94 and CIEDE2000, to complex images on a pixel-by-pixel basis, and calculate the overall Colour Difference as the averaged Difference of each pixel in the image. This method is simple and straightforward but often does not represent the Colour Difference Perceived by the human visual system. The present paper proposes a new algorithm for calculating the overall Colour Difference between a reproduced image and its original. The results obtained show that this new metric provides a quantitative measure that more closely corresponds to the Colour Difference Perceived by the human visual system.

Ian D Bishop - One of the best experts on this subject based on the ideXlab platform.

  • testing Perceived landscape Colour Difference using the internet
    Landscape and Urban Planning, 1997
    Co-Authors: Ian D Bishop
    Abstract:

    Abstract The visual impact of introduced objects—such as industry or power infrastructure—in the landscape is dependent on factors that relate to the object itself, the environment and the observer. The Difference in Colour between the introduced element and its environment is one of the object dependent variables. A number of formulae for Colour Difference have been developed and tested with particular regard to their use in the automobile and textile industries. The questions being explored here relate to the applicability of these formulae to estimation of contrasts in the landscape. In particular, (a) does a formula based approach provide a good estimate of Perceived Colour Difference, and (b) what is the ‘environment’ of the object for Colour Difference calculation purposes. The experiment was undertaken by preparing twelve images which were included with an appropriate explanation and a questionnaire on an Internet page. This also provided the opportunity to test the World Wide Web as a medium for undertaking perception research.

Xu W - One of the best experts on this subject based on the ideXlab platform.

  • The prediction of Perceived Colour Differences by Colour fidelity metrics
    2017
    Co-Authors: Xu W, Wei Minchen, Smet Kevin, Lin Yandan
    Abstract:

    A psychophysical experiment was conducted to evaluate the performance of various Colour spaces, Colour Difference formulae, Colour matching functions and Colour fidelity measures in predicting Perceived Colour Differences. Ten observers evaluated the Colour Differences of 20 Colour samples under 11 pairs of light sources. The results suggest that the Colour Differences calculated using the CIE 1964 Colour matching functions in the CAM02-UCS Colour space can predict the Perceived Colour Differences. IES-Rf which used the 20 Colour samples and the reference illuminants used in the experiment was highly correlated to the Perceived Colour Difference. The importance of a uniform spectral sensitivity for Colour fidelity measures is also identified.status: publishe

  • The prediction of Perceived Colour Differences by Colour fidelity metrics
    SAGE Publications, 2016
    Co-Authors: Xu W, Wei M, Smet K, Lin Y
    Abstract:

    A psychophysical experiment was conducted to evaluate the performance of various Colour spaces, Colour Difference formulae, Colour matching functions and Colour fidelity measures in predicting Perceived Colour Differences. Ten observers evaluated the Colour Differences of 20 Colour samples under 11 pairs of light sources. The results suggest that the Colour Differences calculated using the CIE 1964 Colour matching functions in the CAM02-UCS Colour space can predict the Perceived Colour Differences. IES-Rf which used the 20 Colour samples and the reference illuminants used in the experiment was highly correlated to the Perceived Colour Difference. The importance of a uniform spectral sensitivity for Colour fidelity measures is also identified.Department of Building Services Engineerin