This study aims to promote the cubic effect by reproducing images with depth perception using chromostereopsis in
human visual perception. From psychophysical experiments based on the theory that the cubic effect depends on the
lightness of the background in the chromostereoptic effect and the chromostereoptic reversal effect, it was found that the
luminous cubic effect differs depending on the lightness of the background and the hue combination of the neighboring
colors.
Also, the layer of the algorithm-enhancing cubic effect that was drawn from the result of the experiment was classified
into the foreground, middle, and background layers according to the depth of the input image. For the respective
classified layer, the color factors that were detected through the psychophysical experiments were adaptively controlled
to produce an enhanced cubic effect that is appropriate for the properties of human visual perception and the
characteristics of the input image.
This paper proposes a framework of colour preference control to satisfy the consumer's colour related emotion. A colour
harmony algorithm based on two-colour combinations is developed for displaying the images with several complementary colour pairs as the relationship of two-colour combination. The colours of pixels belonging to complementary colour areas in HSV colour space are shifted toward the target hue colours and there is no colour change for the other pixels. According to the developed technique, dynamic emotions by the proposed hue conversion can be improved and the controlled output image shows improved colour emotions in the preference of the human viewer. The psychophysical experiments are conducted to investigate the optimal model parameters to produce the most pleasant image to the users in the respect of colour emotions.
The preferred skin color reproduction algorithm is developed for the mobile display especially for a portrait image with one person as a main object occupying most of the screen. According to the developed technique, the skin area in an image is detected using color value of each pixel in YCbCr color space. The skin color boundary is defined as a quadrangle in Cb-Cr plane. The colors of pixels belonging to skin area are shifted toward the preferred colors while there is no color change for the other pixels. The psychophysical experiments are conducted to investigate the optimal model parameters providing the most pleasant image to the users. Then, the performance of developed algorithm is tested using the optimal parameters. The result shows that for more than 95% cases, the observers prefer the images treated with the developed algorithm compared to the original image. It is believed that the developed algorithm can be applied to the mobile application to improve the image quality regardless the input sources.
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