Color separation and highly optimized context tree modeling for binary layers have provided the best compression results for color map images that consist of highly complex spatial structures but only a relatively few number of colors. We explore whether this kind of approach works on photographic and palette images as well. The main difficulty is that these images can have a much higher number...

Diabetes mellitus(DM) and non proliferative diabetic retinopathy(NPDR) are one of the serious health care issues today. It creates various financial problems to our health care departments.This paper suggests a technique for classifying DM,NPDR and healthy samples in a non invasive manner.Initially, tongue images are obtained using a capture device.Images are preprocessd which involves color sp...

We propose a method to construct practical reflectances for spectral rendering. A set of 1400 real reflectances are measured and more spectra with higher saturated colors are generated using Bouguer’s law. These spectra serve as the basis for constructing the spectra for any colors. Given a color triplet P, in the color space, we find a small local tetrahedron that contains P and the reflectanc...

Realistic rendering of underwater scenes is one of the most anticipated research topics in computer graphics. Caustics are the important component enhancing the realism of this kind of scenes. Unfortunately, rendering caustics is a time consuming task. As a result, most existing algorithms cannot handle this at interactive rate. In recent years, volumetric texture based rendering algorithms hav...

This paper presents an open-system approach to color texture recognition and retrieval. Several new compact texture descriptors are used in order to achieve a good recognition and retrieval performance. The IRIS system is an easy-to-use, user-friendly Matlab toolbox, which allows the user to browse image databases according to different paradigms. Indexing terms color texture description, color...

We investigate the combined use of multiple structuring elements with the standard morphological texture characterization tools, namely morphological covariance and granulometry. The resulting operator is applied to both grayscale and color images in the context of texture classi cation. As to its extension to color texture data, it is realized by means of a weighting based reduced vector order...

This work presents an approach for the construction of a hybrid color-texture space by using mutual information. Feature extraction is done by the Laws filter with SVM (Support Vectors Machine) as a classifier. The classification is applied on the VisTex database and a SPOT HRV (XS) image representing two forest areas in the region of Rabat in Morocco. The result of classification obtained in t...

In this paper a novel method for machine-based black and white films colorization is presented. The kernel of the proposed scheme is a trained artificial neural network which maps the frame pixels from a grayscale space into a color space. We employ the texture coding method to capture the line/texture characteristics of each pixel as its most significant gray scale space feature, and using tha...

In this paper, we describe our concepts to visualize very large amounts of data. Our visualization techniques which have been developed to support querying large scientific databases are designed to visualize as many data items as possible on current display devices. Even if we are able to use each pixel of the display device to visualize one data value, the number of data items that can be vis...

We present a novel approach of color transfer between images by exploring their high-level semantic information. First, we set up a database which consists of the collection of downloaded images from the internet, which are segmented automatically by using matting techniques. We then, extract image foregrounds from both source and multiple target images. Then by using image matting algorithms, ...