In urban aerial images, shadows cast by culture features due to solar orientation are usually homogenous and among the darkest regions in images and they make the feature under them unrevealed. This paper presents automatic procedures for shadow detection and radiometric restoration of features under cast shadows in color aerial images for solving problems caused by cast shadows in digital imag...

Categorical perception (CP) of color is the faster and more accurate discrimination of two colors from different categories than two colors from the same category, even when same- and different-category chromatic separations are equated. In adults, color CP is lateralized to the left hemisphere (LH), whereas in infants, it is lateralized to the right hemisphere (RH). There is evidence that the ...

Although the use of computer color matching can reduce the influence of subjective factors by technicians, matching the color of a natural tooth with a ceramic restoration is still one of the most challenging topics in esthetic prosthodontics. Back propagation neural network (BPNN) has already been introduced into the computer color matching in dentistry, but it has disadvantages such as unstab...

The authors used a recognition memory paradigm to assess the influence of color information on visual memory for images of natural scenes. Subjects performed 5%-10% better for colored than for black-and-white images independent of exposure duration. Experiment 2 indicated little influence of contrast once the images were suprathreshold, and Experiment 3 revealed that performance worsened when i...

Demosaicking is the process of reconstructing a full resolution color image from the sampled data acquired by a digital camera that apply a color filter array to a single sensor. In this paper, we propose a regularization approach to demosaicking, making use of some prior knowledge about natural color images, such as smoothness of each single color component and correlation between the differen...

The naming of colors has long been a topic of interest in the study of human culture and cognition. Color term research has asked diverse questions about thought and communication, but no previous research has used an evolutionary framework. We show that there is broad support for the most influential theory of color term development (that most strongly represented by Berlin and Kay [Berlin B, ...

Dynamic, or temporal, texture is a spatially repetitive, timevarying visual pattern that forms an image sequence with a certain temporal stationarity. Important tasks are thus the detection, segmentation and perceptual characterization of Dynamic Texture (DT). Following recent work, color image decomposition appears as a good way to reach these different aims, however, to our best knowledge, no...

An adaptive neural network system for color image segmentation is proposed here. The system consists of a neural network that performs the segmentation using multilevel thresholding activation function. The supervised neural network used learns with help of back propagation algorithm. The system finds the threshold and target values for the segmentation based on the derivative of histogram of s...

This paper explores the possibility of recovering a lost color channel from an RGB image, based on the information present in the remaining two color channels, as well as on a priori knowledge about the statistics of sensor responses in a given environment. Different regression and neural network recovery methods are compared and the results show that even simple linear techniques suffice to ob...

In this paper mode filtering of color images is explored. An existing framework based on local histograms is extended to multi-channel images. Within this framework three color mode operations are proposed; 1. global mode operation for edge sharpening, noise reduction and small object removal, 2. constrained mode operation for white noise filtering while preserving detail, and 3. uncertain data...