There is a generally–accepted tendency to consider and process color images as a set of parallel gray–scale planes (instead of an ensemble of a 3–D realization). Although, even now, many researchers make the same assumption, but it is proved that using vector geometries leads to more promising results. In this paper, by processing the color images as vector geometries, a novel method is propose...

Principal-component decomposition is applied to the analysis of noise for infrared images. It provides a set of eigenimages, the principal components, that represents spatial patterns associated with different types of noise. We provide a method to classify the principal components into processes that explain a given amount of the variance of the images under analysis. Each process can reconstr...

The modeling of facial appearance has many applications. This paper proposes an approach to generating a statistical face model based on video mosaicing. Unlike traditional video mosaicing, we use the geometry of a face to improve the mosaicing result. Given a face sequence, each frame is unwrapped onto certain portion of the surface of a sphere, as determined by spherical projection and the mi...

Multi-component recording contains full wavefield information that can be used in polarization filtering to attenuate surface-wave noise. The polarization filter used here is a station-by-station approach that combines statics, signal-to-noise ratio, and eigenimages to construct a surfacewave noise model and then applies an adaptive subtraction to remove the noise. Statics and signal-to-noise r...

A method is proposed based on the combination of wavelet analysis and principal component analysis (PCA). Microcalcification (MC) candidate regions are initially labeled using area and contrast criteria. Mallat’s redundant dyadic wavelet transform is used to analyze the frequency content of image patterns at horizontal and vertical directions. PCA is used to efficiently encode MC patterns in wa...

A search engine for font recognition is presented and evaluated. The intended usage is the search in very large font databases. The input to the search engine is an image of a text line, and the output is the name of the font used when rendering the text. After pre-processing and segmentation of the input image, a local approach is used, where features are calculated for individual characters. ...

In this paper, a new method to compute eigenimages in principal component analysis (PCA) based vision systems is presented. It is called Mosaic Image Method. In this method, the object is represented as a collection of features and their relative positions (topology). This is a local and global method. Although this method is created to account for the occlusion problem, it is found that this i...

adaptive compression methods for color images. One, we use ferential pulse code modulation (DPCM) [25], transform clustering or segmentation procedures to determine self-similar coding [25, 30], and vector quantization [12], developed image regions. Two, for each such region we use a Karhunen– initially for encoding monochrome images. This approach Loeve compression method to model the importan...