The paper elaborates on understanding, measuring and optimizing perceived color quality of natural images. We introduce a model for optimal color reproduction of natural scenes which is based on the assumption that color quality of natural images is constrained by perceived naturalness and colorfulness of these images. To verify the model, a few experiments were carried out where subjects estim...

This work presents a novel way of generating color differences for synthesizing artistically screened color images. A single color is specified by interacting with the mouse alternately on a constant luminance plane and on a constant hue plane within the LEF color space (the orthogonal space formed by the RGB cube's black-white axis (L) and by its E and F chrominance axes). By interactively sel...

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Studying color preferences provides a means to discover how perceptual experiences map onto cognitive and affective judgments. A challenge is finding a parsimonious way to describe and predict patterns of color preferences, which are complex with rich individual differences. One approach has been to model color preferences using factors from metric color spaces to establish direct correspondenc...

This paper describes two classic style methods to analyze and segment the color space. The RGB space method includes color space pyramiding, low-pass filtering, 3-D object labeling and property calculation to acquire a proper number of colors and a good initial estimate of center positions, then fuzzy cmeans algorithm can be used to optimally cluster the color space distribution points. The sec...

In a single-chip digital color imaging sensor, a color filter array (CFA) is used to obtain sampled spectral components (red, green and blue) in an interleaved fashion. Color demosaicing is the process of interpolating these regularly spaced sampled values into the dense pixel maps for each spectral components. In this paper we present techniques for interpolating the color images in the YUV co...

In many applications of color technology such as spectral color reproduction it is of interest to represent the spectral data with lower dimensions than spectral space’s dimensions. It is more than half of a century that Principal Component Analysis PCA method has been applied to find the number of independent basis vectors of spectral dataset and representing spectral reflectance with lower di...