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Volume: 8 | Article ID: art00031
Comparison of Camera Quality Indexes
  DOI :  10.2352/CIC.2000.8.1.art00031  Published OnlineJanuary 2000

In terms of correlation to the spectral data base SOCS (Standard Object Colour Spectra Database for Colour Reproduction Evaluation), computer simulation was employed to compare five camera quality indexes: CQF (Color Quality Factor) from Neugebauer, Goodness from Vora and Trusell, Squared Difference from ISO 17321 WD1.1, RMS (Root Mean Square) from ISO17321 WD4, and Camera Rendering Indexes (Ra: Average CRI, and Ri: Special CRI) from Hung. Based on the assumption that SOCS encompasses the spectral reflectance of real objects, SOCS was used to simulate real-world spectra. To avoid the disputed population problem of spectral reflectance in SOCS, we used color differences (ΔE*ab) containing 95.5%, 99.7%, and 100% (i.e. worst ΔE*) of the SOCS data, as well as a simple average, as references. Applied to thirteen sets of camera sensitivities, Average CRI gave correlation coefficients of greater than 0.95 against 95.5%, 99.7%, and average ΔE*, and Special CRI gave the best correlation coefficient with the worst ΔE* among these quality indexes. Thus, Average CRI appears to be a good index for the evaluation of a camera's colorimetric quality.

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Po-Chieh Hung, "Comparison of Camera Quality Indexesin Proc. IS&T 8th Color and Imaging Conf.,  2000,  pp 167 - 171,

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