In Independent Component Analysis, one tries to model the underlying data so that in the linear expansion of the data vectors the coeecients are as independent as possible. This often leads to natural features characterizing well the data. In this paper , we present some results on applying Independent Component Analysis to image data. This has become possible by using a recently developed, com...

In this paper we present a case study of a three-component hybrid image compression algorithm combining the widely familiar, DCT-based JPEG algorithm with the Wavelet-based JPEG 2000 algorithm and a searchless fractal image compression algorithm capable of unusually deep quadtree spanning. Comparison of the relationship between compression rate and peak signal to noise ratio for each component ...

Image quality assessment (IQA) is a crucial technique in perceptual image/video coding, because it is not only a ruler for performance evaluation of coding algorithms but also a metric for ratio-distortion optimization in coding. In this paper, inspired by the fact that distortions of both global and local information influence the perceptual image quality, we propose a novel IQA method that in...

It is known since 1988 that utilizing linear dimension reduction gives appropriate lower dimensional representation of homogenous swatches of color images of the nature. Though, it is common to see serious research projects, even dated 2005, which are based on the fixed color space paradigm. In this thesis, first experimental evaluations are performed to compare the principal component analysis...

Principal component analysis (PCA) is one of the statistical techniques frequently used in signal processing to the data dimension reduction or to the data decorrelation. Presented paper deals with two distinct applications of PCA in image processing. The first application consists in the image colour reduction while the three colour components are reduced into one containing a major part of in...

The spatial distributions of melanin and hemoglobin in human skin are separated by independent-component analysis of a skin color image. The analysis is based on the skin color model with three assumptions: (1) Spatial variation of color in the skin is caused by two pigments, melanin and hemoglobin; (2) the quantities of the two pigments are mutually independent spatially; and (3) linearity hol...

Image sampling is a fundamental technique for image compression, which greatly improves the efficiency of storage, transmission, and applications. However, existing algorithms primarily consider human visual perception discard irrelevant information based on subjective preferences. Unfortunately, these methods may not adequately meet demands computer vision tasks can even lead to redundancy bec...

In early stages of engineering design, pen-and-paper sketches are often used to quickly convey concepts and ideas. Free-form drawing is often preferable to using computer interfaces due to its ease of use, fluidity and lack of constraints. The objective of this project is to create a trainable sketched Simulink component recognizer and classifying the individual Simulink components from the inp...

It is often necessary to compare data-rich charts, tables, diagrams, or drawings rather than the articles that contextualize that data. The objective of this research has been to create a database of non-textual components (here,maps) that are searchable independently of the articles from which they are taken, with the option to view the source articles. The method mines words from the articles...