The spatial resolution of a hyperspectral image is often coarse because of the limitations of the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement. This paper proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysi...

This paper is aimed at analyzing the performance of three different state-of-the-art image compression schemes namely Embedded Zerotree Wavelet (EZW), Spatial-orientation Trees Wavelet (STW) and Set Partitioning in Hierarchical Trees (SPHIT). The paper analyses the compression schemes using X-ray image data such that the quality of the reconstructed image would be closely related to its origina...

This research aims to study the effect of using digital (web-based) analyses in performance measurement and optimization of digital marketing in digital-based companies in Tehran. The data collection tool was a researcher-made questionnaire. A panel of experts and supervisor were asked to measure the validity of the questionnaire. For reliability analysis of this tool, Cronbach’s alpha test was...

In this paper, a simple and robust color image encryption algorithm based on highdimensional chaotic maps is proposed. The algorithm employs a 3D Arnold transform to perform inter-component shuffling of plain-image, while a 2D hyper-chaotic map is used to confuse the relationship between the encrypted image and plain-image. The control parameters of Arnold transform are extracted from pending p...

Methods Data from 178 BrAIST subjects that chose treatment were used. Subjects that switched treatment during the study were not included in the analyses. Body image constructs, based on cognitive-behavioral perspectives (1), were used to measure the following: how adolescents’ 1) think they look (self-body image), 2) want to look (ideal-body image), and 3) the difference between these construc...

The main issue in any image zooming techniques is to preserve the structure of the zoomed image. The zoomed image may suffer from the discontinuities in the soft regions and edges; it may contain artifacts, such as image blurring and blocky, and staircase effects. This paper presents a novel image zooming technique using Partial Differential Equations (PDEs). It combines a non-linear Fourth-ord...

Pips is an experimental tool to implement and evaluate various inter-procedural compilation, parallelization, analysis and optimization techniques. This paper focuses on the workbench used to build these compilers. It includes the management of data structures, of dependences between the various analysis and transformation phases, and the mathematical libraries used to implement some of the mos...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...

texture image analysis is one of the most important working realms of imageprocessing in medical sciences and industry. up to present, different approacheshave been proposed for segmentation of texture images. in this paper, we offeredunsupervised texture image segmentation based on markov random field (mrf)model. first, we used gabor filter with different parameters’ (frequency,orientation) va...