Chroma and Contrast Features Based Image Difference Measure in Various Scales
نویسندگان
چکیده
An image difference structure is created that include of image regularization, feature derivation, and feature grouping. Based on this structure image difference measure is created by selecting exact implementations for each of the steps. An image difference prediction is then calculated using image difference features (IDFs) that are derived from the images. The input images are then regularized with an image appearance model and are changed into a working color space. Difference map are calculated by Lightness, Chroma , Hue , Lightness-Contrast, Lightness-Structure and Chroma-Contrast comparisons within the working color space. Along with this different Scale wise are analysed for image difference measure. Each map is finally transformed into a characteristic value calculation that is the mean value of all pixels. The resulting IDFs are grouped into an image-difference measure (IDM) to predict distortion. Keywords— Image Difference features(IDFs),Image Difference Measure (IDM),Working color space, Image appearance model, Difference map, Characteristics value computation.
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