This tutorial is about image file formats: what are they, what are they used for, what are their differences and how we choose between them. The tutorial assumes a basic understanding of general digital imaging; of which a quick summary of important features is provided below. Pixel: a digital image is represented as a rectangular grid of dots, where each dot has a specific spatial position and...

We propose modeling images and related visual objects as bags of pixels or sets of vectors. For instance, gray scale images are modeled as a collection or bag of (X,Y, I) pixel vectors. This representation implies a permutational invariance over the bag of pixels which is naturally handled by endowing each image with a permutation matrix. Each matrix permits the image to span a manifold of mult...

Due to the low spatial resolution of sensors, hyperspectral images contain mixed pixels. The purpose unmixing is decompose pixels into a series endmembers and abundance fractions. In order improve performance nonlinear algorithm for images, method, i.e., constrained multi-layer kernel non-negative matrix factorization (AC-MLKNMF), presented. Firstly, MLKNMF presented iteratively structure, then...

PURPOSE Thick segmented scintillators, incorporating a 2-dimensional matrix of optically-isolated scintillator elements, have shown considerable potential for improving the performance of megavoltage active matrix, flat-panel imagers (MV AMFPIs). While over a factor of 20 improvement in DQE at zero spatial-frequency has been demonstrated for prototypes incorporating CsI(Tl) and BGO scintillator...

Over the last few years, support vector machines (SVMs) have shown a great potential as classifiers for remotely sensed data. Generally, these have been used to perform conventional hard classification where each pixel is allocated to only one class. Remote sensing images, particularly at coarse spatial resolutions, are contaminated with mixed pixels that contain more than one class on the grou...

In this paper, the author presents an advanced version of image encryption technique, which is itself an upgraded version of SD-EI image encryption method. In this new method, SD-EI Ver-2, there are more bit wise manipulations compared to original SD-EI method. The proposed method consist of three stages: 1) First, a number is generated from the password and each pixel of the image is converted...

We explore design principles for general pixel-level prediction problems, from low-level edge detection to midlevel surface normal estimation to high-level semantic segmentation. Convolutional predictors, such as the fullyconvolutional network (FCN), have achieved remarkable success by exploiting the spatial redundancy of neighboring pixels through convolutional processing. Though computational...