Influence of Noise on Color Correction
This paper proposes the noise influence factor (NIF) to predict the influence of noise on the accuracy of color correction based on a new simple formula for a colorimetric evaluation of the device in the presence of noise. Computer simulations were performed to confirm the relationships between the NIF and the increased color correction errors by the presence of noise for each combination of sensor sets, color charts, recording and viewing illuminants and noise levels. It is shown that the proposed NIF provides a good measure to predict the influence for a variety of color sensor sets, color charts and illuminants. This predictor may be useful to design the optimal sensor sets that are robust to noise.
Document Type: Research Article
Publication date: January 1, 2002
Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.
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