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    Color to Grayscale Image Conversion Using High Dimensional Model Representation
    (IEEE, 2021) Ceylan, Ayca; Tunga, Ve Burcu; Ozay, Evrim Korkmaz
    Color images are converted to grayscale when texture information is needed more than color information when it is desired to reproduce or when it is used for artistic purposes.The methods used to convert color images to grayscale should both produce perceptually acceptable grayscale results and retain as much information as possible about the original color image. In this study, an alternative color-to-grayscale image conversion algorithm has been developed for decolarization using the High Dimensional Model Representation (HDMR) method. In order to evaluate the efficiency of the proposed algorithm, normalized cross correlation, color contrast preservation ratio, E-score and color content fidelity ratio have been used within the scope of standard objective measures.