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...

The colorful representation of orientation preference maps in primary visual cortex has become iconic. However, the standard representation is misleading because it uses a color mapping to indicate orientations based on the HSV (hue, saturation, value) color space, for which important perceptual features such as brightness, and not just hue, vary among orientations. This means that some orienta...

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...

We present a method to give single band intensified nightvision imagery a natural day-time color appearance. For input, the method requires a true color RGB source image and a grayscale nightvision target image. The source and target image are both transformed into a perceptually decorrelated color space. In this color space a best matching source pixel is determined for each pixel of the targe...

We have done a detailed analysis of the properties of the HSV (Hue, Saturation and Intensity Value) color space. Our emphasis is on the visual perception of the color of an image pixel with the variation in hue, saturation and intensity values of the pixel. Using the results of this analysis, we determine relative importance of hue and intensity based on the saturation of a pixel. We apply this...

Due to the improvement of image rendering processes, and the increasing importance of quantitative comparisons among synthetic color images, it is essential to define perceptually based metrics which enable to objectively assess the visual quality of digital simulations. In response to this need, this paper proposes a new methodology for the determination of an objective image quality metric, a...

Expectations learned from our environment are known to exert strong influences on episodic memory. Furthermore, people have prior expectations for universal color labels and their associated hue space—a salient property of the environment. In three experiments, we assessed peoples’ color naming preferences, and expectation for color. Using a novel experimental paradigm, we then assessed free re...

In a picture of a bright scene, camera sensor readings may be saturated to a maximal value. This results in loss of variation and color distortion of bright regions in the image. We present an algorithm that exploits data from uncorrupted channels to recover image details and color information. The correction is based on the Color Lines model for image representation in RGB color space. Given a...