The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This article presents a new method of image analysis with steganographic inserts based on hierarchy analysis method. Images with applied algorithm of replacing the least significant bit (LSB) are investigated. Detection is performed by dividing the image into layers and making an analysis of zero-layer of adjacent bits for every bit. First-layer and second-layer are analyzed too. Hierarchies analysis...
The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among...
Finding color representations that are stable to illuminant changes is still an open problem in computer vision. Until now, most approaches have been based on physical constraints or statistical assumptions derived from the scene, whereas very little attention has been paid to the effects that selected illuminants have on the final color image representation. The novelty of this paper is to propose...
Aims to provide general technicians who manage pects in production with a convenient way to recognize them, a novel method to classify insects by analyzing color histogram and GLCM (Gray-Level Co-occurrence Matrices) of wing images is proposed. The wing image of lepidopteran insect is preprocessed to get the ROI (Region of Interest); then the color image is first converted from RGB(Red-Green-Blue)...
Discriminating photorealistic computer graphics from natural images is an important problem in image forensics. A new distinguishing method using second-order difference statistics is proposed in this paper. Firstly, the second-order difference signals and predicting error signals of both original and calibrated images are extracted in the HSV color space, and then the variance and kurtosis of second-order...
Digital image forensics seeks to detect statistical traces left by image acquisition or post-processing in order to establish an images source and authenticity. Digital cameras acquire an image with one sensor overlayed with a color filter array (CFA), capturing at each spatial location one sample from the three necessary color channels. The missing pixels must be interpolated in a process known as...
Contrast is one of the most relevant perceptual and quality factors in digital images and measuring it is not a trivial task. We have carried out an online psychophysical experiment to register perceived contrast. The results from the observers indicate that color images are rated higher than their respective greyscale one indicating that contrast is influenced color. A two-sided sign test at 5% level...
A correlation-enhanced similarity matching framework for medical image retrieval is presented in a local concept-based feature space. In this framework, images are presented by vectors of concepts that comprise of local color and texture patches of image regions in a multi-dimensional feature space. To generate the concept vocabularies and represent the images, statistical models are built using a...
In this paper, a novel standard variance feature is proposed for background modeling in dynamic scenes involving waving trees and ripples in water. The standard variance feature is the standard variance of a set of pixels' feature values, which captures mainly co-occurrence statistics of neighboring pixels in an image patch. The background modeling method based on standard variance feature includes...
The development of objective texture similarity metrics for image analysis applications differs from that of traditional image quality metrics because substantial point-by-point deviations are possible for textures that according to human judgment are essentially identical. Thus, structural similarity metrics (SSIM) attempt to incorporate ??structural?? information in image comparisons. The recently...
Based on the statistical data of the enterprise logo color designs of global 500, the paper analyzes the number of color and the number of hue used commonly in these enterprise logos, as well as the relevance of HSB data in order to find the regularity, which provides reference data for the design of corporate logo color.
A predictive model for estimating the perceived harmony of ordinary multi-colored images is proposed and evaluated. The model is based on earlier research concerning two-color harmonies. Color regions of images are extracted using mean shift segmentation. Global and local harmony scores are derived for two-color combinations included in different subsets of all segmented regions. Statistical measurements...
Because of the semantic gap between low-level feature and high-level semantic feature of images, the results of the traditional color-based image retrieval canpsilat meet userspsila needs. In order to eliminate interference factors in the image retrieval, use image semantic feature and improve the accuracy of image retrieval, the paper introduces an algorithm based on the color correlation mining...
We investigate the behavior of users at the Web portal. We focus on transitions between two subpages, using the information about the path of the users. We construct a weighted network with portal subpages being its nodes and the weights of edges defined as a number of transition from between different subpages. We scrutinize the properties of such a network as a distribution of weights and strengths...
In this paper, an improved colour image encryption is proposed, which is based on a chaotic logistic map and the one-way coupled-map lattices (OCML) model. The results of several experimental, statistical analyses and key sensitivity tests prove the security robustness of the proposed cryptosystem.
This paper proposes a novel iris recognition system based on matching colour pixel statistics. The proposed system uses colour histograms as pixel statistic feature vectors for recognition of irises by cross correlation between the histogram of a given iris and the histograms of irises in the database. Majority voting (MV) has been applied to achieve the final recognition. Iris images taken from the...
In the design of a multiband imaging device, it is useful to model the response and performance of the instrument mathematically. Determining the device performance requires providing typical input to the device. Currently, there exist databases of hyperspectral images and spectral reflectance measurements that can provide limited input. In this document, methods for generating and modeling reflectance...
In this paper, we introduce a new method for digital camera identification from its color images using image sensor noise. We first compute the two noise reference patterns by averaging the noise component from two groups of color images taken with a camera. Then we use canonical correlation analysis (CCA) to calculate the projection directions of the two noise reference patterns. Finally, we calculate...
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typically use statistical measures to analyse the sampled data about work and such measures, while very useful, can overlook important features of the data. In this paper we apply a previously...
Early estimates of failure-proneness can be used to help inform decisions on testing, refactoring, design rework etc. Often such early estimates are based on code metrics like churn and complexity. But such estimates of software quality rarely make their way into a mainstream tool and find industrial deployment. In this paper we discuss about the Tempest tool that uses statistical failure-proneness...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.