Some people see them as pests, but bats are among the most fascinating and ecologically indispensable animals on Earth.

NASA offers a very telling viewpoint for atmospheric photography — especially hurricanes. Take a look at these amazing storms from a different perspective.

Now that you have already downloaded one of our free Christian templates, the one that you loved most, you want to customize it to fit your church. You want to replace the logo, to change the text and to replace the pictures with real ones.

eQuorum Corporation announces major new features in Version 10.2 of ImageSite, its flagship, comprehensive, yet affordable digital Document Management Solution for manufacturers, architects, engineers, utilities, universities and government.

Recoverit recently launched its new photo recovery software which enables an easy and secure recovery of photo/video/audio lost from any storage device with its wide range of image recovery techniques.

Dovanna, an iconic fashion model of the 1980s, is presented by projected images from her work with photographers Robert Maplethorpe, Pierre & Gilles and Andrew Brucker. Opening attire by Marc Jacobs.

TFE, in conjunction with Iron Mountain and WIPP, continue to help Carlsbad lead the way for industrial growth in the region

Photography studio scheduling can be a risky venture. Top talent is not always easy to come across, and some studios only excel on a single service, while they stagger on others.

Peninsula General's website continues to offer a fast, online auto insurance quote system that was released in early September 2018.

Dallas News: A Dallas blogger’s images of parked planes show just how far the airline industry has fallen. “Andy Luten usually takes pictures of planes in the air, taking off or landing. But in the depths of the COVID-19 downturn, the 37-year-old financial software consultant in Dallas wanted to put his hobby to work showing … Continue reading Dallas News: A Dallas blogger’s images of parked planes show just how far the airline industry has fallen

Grand Canyon National Park and partner Grand Canyon Youth are pleased to announce the opening of an exhibition of works by 10 young artists. The grand opening of the exhibit will be held from 7 p.m. to 8 p.m. on Saturday, July 7, in the Park Headquarters lobby. https://www.nps.gov/grca/learn/news/2012-07-05_grand-inspiration.htm

A centered dropdown menu, using the latest centering technique, with flyout images

A photograph gallery with hover to show large images with linking to full size images or another page.

A dropline menu which uses sliding doors tabs for the top level and a horizontal scrolling dropline which has images and caption.

A droplist menu using top level blocks containing images with text and links.

A method of replacing menu link text with rollover png images that works in IE6 and also degrades well when images are of and/or CSS is off.

A method of creating irregular shaped image maps with ease exploiting an odd effect when using Microsofts AlphaImageLoader to render background PNG images. Only for IE though.

A click gallery using a sliding set of thumbnail images to navigate. The large image is permanently on screen until another image is chosen EVEN when refreshing the page. With descriptive text and linking option.

The previous gallery but with the thumbnails arranged vertically instead of horizontal.

How to style the background image using CSS3 to make it fit the container size.

Using just html and css with no extra markup to produce foreground png images

A method of applying :focus to images.

A method of getting IE7, IE8 and early version of other browsers to support 'background-size:cover'.

A CSS only method of toggling the zoom state of images. Works in all modern browsers including the Android browser.

Using CSS shape to have text track the shape of images. For all modern browsers except IE and Firefox.

Increasing digitisation of society has enabled the study of collective... more

Knowing how to fan out images with Divi’s scroll effects can be a subtle and impressive design element to help promote an image gallery on a landing page. The idea is to engage users as they scroll down the page by fanning out images like a hand of playing cards. In this tutorial, we are […]

The post How to Fan Out Images on Scroll to Promote an Image Gallery in Divi appeared first on Elegant Themes Blog.

The first phase of the multi million pound development in Durham city is under way and is expected to take 18 months to complete

Now that we have most of the basics of HTML and CSS in the browser, we’ve begun implementing new features that I would consider “quality of life” improvements, many of which have been inspired by mobile. One great example is the CSS prefers-color-scheme media query, which allows developers to cater their design to system theme […]

The post How to Display Mode-Specific Images appeared first on David Walsh Blog.

Visualization turns data into images, but are images themselves data? There are often claims that they are, but then you mostly see the images themselves without much additional data. In this video, I look at image browsers, a project classifying selfies along a number of criteria, and the additional information stored in HEIC that makes […]

Input transformation based defense strategies fall short in defending against strong adversarial attacks. Some successful defenses adopt approaches that either increase the randomness within the applied transformations, or make the defense computationally intensive, making it substantially more challenging for the attacker. However, it limits the applicability of such defenses as a pre-processing step, similar to computationally heavy approaches that use retraining and network modifications to achieve robustness to perturbations. In this work, we propose a defense strategy that applies random image corruptions to the input image alone, constructs a self-correlation based subspace followed by a projection operation to suppress the adversarial perturbation. Due to its simplicity, the proposed defense is computationally efficient as compared to the state-of-the-art, and yet can withstand huge perturbations. Further, we develop proximity relationships between the projection operator of a clean image and of its adversarially perturbed version, via bounds relating geodesic distance on the Grassmannian to matrix Frobenius norms. We empirically show that our strategy is complementary to other weak defenses like JPEG compression and can be seamlessly integrated with them to create a stronger defense. We present extensive experiments on the ImageNet dataset across four different models namely InceptionV3, ResNet50, VGG16 and MobileNet models with perturbation magnitude set to {epsilon} = 16. Unlike state-of-the-art approaches, even without any retraining, the proposed strategy achieves an absolute improvement of ~ 4.5% in defense accuracy on ImageNet.

The connection between visual input and tactile sensing is critical for object manipulation tasks such as grasping and pushing. In this work, we introduce the challenging task of estimating a set of tactile physical properties from visual information. We aim to build a model that learns the complex mapping between visual information and tactile physical properties. We construct a first of its kind image-tactile dataset with over 400 multiview image sequences and the corresponding tactile properties. A total of fifteen tactile physical properties across categories including friction, compliance, adhesion, texture, and thermal conductance are measured and then estimated by our models. We develop a cross-modal framework comprised of an adversarial objective and a novel visuo-tactile joint classification loss. Additionally, we develop a neural architecture search framework capable of selecting optimal combinations of viewing angles for estimating a given physical property.

High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an important task for element extraction, has been widely used in processing mass HRRSIs. However, HRRSIs often exhibit large intraclass variance and small interclass variance due to the diversity and complexity of ground objects, thereby bringing great challenges to a semantic segmentation task. In this paper, we propose a new end-to-end semantic segmentation network, which integrates lightweight spatial and channel attention modules that can refine features adaptively. We compare our method with several classic methods on the ISPRS Vaihingen and Potsdam datasets. Experimental results show that our method can achieve better semantic segmentation results. The source codes are available at https://github.com/lehaifeng/SCAttNet.

Histopathology is a reflection of the molecular changes and provides prognostic phenotypes representing the disease progression. In this study, we introduced feature scores generated from hematoxylin and eosin histology images based on deep learning (DL) models developed for prostate pathology. We demonstrated that these feature scores were significantly prognostic for time to event endpoints (biochemical recurrence and cancer-specific survival) and had simultaneously molecular biologic associations to relevant genomic alterations and molecular subtypes using already trained DL models that were not previously exposed to the datasets of the current study. Further, we discussed the potential of such feature scores to improve the current tumor grading system and the challenges that are associated with tumor heterogeneity and the development of prognostic models from histology images. Our findings uncover the potential of feature scores from histology images as digital biomarkers in precision medicine and as an expanding utility for digital pathology.

Image dehazing is an ill-posed problem that has been extensively studied in the recent years. The objective performance evaluation of the dehazing methods is one of the major obstacles due to the lacking of a reference dataset. While the synthetic datasets have shown important limitations, the few realistic datasets introduced recently assume homogeneous haze over the entire scene. Since in many real cases haze is not uniformly distributed we introduce NH-HAZE, a non-homogeneous realistic dataset with pairs of real hazy and corresponding haze-free images. This is the first non-homogeneous image dehazing dataset and contains 55 outdoor scenes. The non-homogeneous haze has been introduced in the scene using a professional haze generator that imitates the real conditions of hazy scenes. Additionally, this work presents an objective assessment of several state-of-the-art single image dehazing methods that were evaluated using NH-HAZE dataset.

In this paper, we present a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients. We formulate this as a non-convex regularisation problem involving a sparsity-enforcing, Cauchy-based penalty function, and the inverse Radon transform. We employ a simple local maxima detection technique in the Radon transform domain, associated with known clinical definitions of line artefacts. Despite being non-convex, the proposed method has guaranteed convergence via a proximal splitting algorithm and accurately identifies both horizontal and vertical line artefacts in LUS images. In order to reduce the number of false and missed detection, our method includes a two-stage validation mechanism, which is performed in both Radon and image domains. We evaluate the performance of the proposed method in comparison to the current state-of-the-art B-line identification method and show a considerable performance gain with 87% correctly detected B-lines in LUS images of nine COVID-19 patients. In addition, owing to its fast convergence, which takes around 12 seconds for a given frame, our proposed method is readily applicable for processing LUS image sequences.

Systems and methods for generating a tuple of structured data files are described herein. In one example, a method includes detecting an expression that describes a structure of a structured image using a constructor. The method can also include using an inference-rule based search strategy to identify a hierarchical arrangement of bounding boxes in the structured image that match the expression. Furthermore, the method can include generating a first tuple of structured data files based on the identified hierarchical arrangement of bounding boxes in the structured image.

A method of identifying one or more particular images from an image collection, includes indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by one or more of the image descriptors; receiving a query from a user specifying at least one keyword for an image search; and using the keyword(s) to search a second collection of tagged images to identify co-occurrence keywords. The method further includes using the identified co-occurrence keywords to provide an expanded list of keywords; using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and displaying the representative images to the user.

A system, method and computer program product for allocating shared resources. Upon receiving requests for resources, the cost of bundling software in a virtual machine (VM) image is automatically generated. Software is selected by the cost for each bundle according to the time required to install it where required, offset by the time to uninstall it where not required. A number of VM images having the highest software bundle value (i.e., highest cost bundled) is selected and stored, e.g., in a machine image store. With subsequent requests for resources, VMs may be instantiated from one or more stored VM images and, further, stored images may be updated selectively updated with new images.

Images are analyzed within a 3D environment that is generated based on spatial relationships of the images and that allows users to experience the images in the 3D environment. Image analysis may include ranking images based on user viewing information, such as the number of users who have viewed an image and how long an image was viewed. Image analysis may further include analyzing the spatial density of images within a 3D environment to determine points of user interest.

A data processing entity that includes a mass memory with a plurality of memory locations for storing memory blocks. Each of a plurality of software images includes a plurality of memory blocks with corresponding image addresses within the software image. The memory blocks of software images stored in boot locations of a current software image are relocated. The boot blocks of the current software image are stored into the corresponding boot locations. The data processing entity is booted from the boot blocks of the current software image in the corresponding boot locations, thereby loading the access function. Each request to access a selected memory block of the current software image is served by the access function, with the access function accessing the selected memory block in the associated memory location provided by the control structure.

Systems and methods for imaging within depth layers of a tissue include illuminating light rays at different changing wavelengths (frequencies), collimating illuminated light rays using a collimator, and splitting light rays using a beam splitter, such that some of the light rays are directed towards a reference mirror and some of the rays are directed towards the tissue. The systems and methods further include reflecting light rays from the reference mirror towards the imager, filtering out non-collimated light rays reflected off the tissue by using a telecentric optical system, and reflecting collimated light rays reflected off the tissue towards the imager, thus creating an image of an interference pattern based on collimated light rays reflected off the tissue and off the reference mirror. The method may further include creating full 2D images from the interference pattern for each depth layer of the tissue using Fast Fourier transform.

Sponsored-content may be placed based on images in video content. A first image in a frame of a video content item is identified. The first image is matched with a second stored image. A sponsored-content item to be presented is selected based on an association between the second stored image and the sponsored-content item.

A method is described for producing a character, pattern, symbol and/or image (8) on a substrate (2) by way of pigment particles (1) which are arranged thereon and lose their color effect under the action of a laser (23), wherein different pigment particles (1) with at least three different color effects are arranged on and/or in the substrate (2). The invention is distinguished by the following method steps: (a) production of a color chart (14), in which the individual color effect of individual pigment particles (1) or individual clusters of pigment particles is contained as a function of their spatial coordinate on and/or in the substrate (2); (b) spatially resolved irradiation, which changes the color effect of only individual pigment particles (1) or individual clusters of pigment particles, by way of a laser (23) at a single frequency on the basis of the color chart (14) in order to produce a resulting color effect. Furthermore, the present invention relates to substrates, in particular security documents, produced using a method of this type, and devices for carrying out methods of this type.

A system for capturing images in a booth. The system includes a network, a server communicatively coupled to the network, the server comprising a database operable to store images. The system further includes a booth communicatively coupled to the network, the booth comprising an input device operable to receive one or more inputs from a user, a camera operable to capture one or more images of the user, a display operable to present the one or more images, and a booth computer operable to transmit the one or more images to the server.

A combined video display and image capture system and method are disclosed. In one embodiment the system alternates between the capture period of the camera (306) and the image display (302) period to isolate the camera (306) from the display (302). Various methods are disclosed to achieve the alternation in the capture and the display periods of the system. Distortions in the captured image can be corrected using an image correction subsystem.

System, including a code scanner, for using multi-function codes, such as multi-function QR codes, MobiTags, ShotCodes, 2-dimensional bar codes, 3-dimensional bar codes, or images to open multiple ports of a telephone device. One of the ports is a text port, enabling the system to obtain the telephone number of a device that reads a code associated with an item and then generate a lead for follow-up by an agent. The lead is sent to the agent via a text or email message. The system may also pass the lead to other agents if the first agent doesn't respond, and it may also send additional information to the telephone device. The system may include a database of item-associated information and the capability of accessing the item-associated information for inclusion in outgoing messages to the agents and/or the telephone device.

A method is provided for constructing a tomographic reconstruction through the application of statistical inversion. Unknowns associated with points of a reconstruction grid are represented with components of a vector-valued variable. A next version of the vector-valued variable is repeatedly created by drawing for each component a value from a conditional distribution. The components of a so generated version of the vector-valued variable are used as the tomographic reconstruction. The components are divided into sets, so that components in a set represent unknowns associated with mutually independent points of the reconstruction grid, or into independent collections. For at least two components of a set or at least two collections, the drawing of values from a conditional distribution is performed in parallel in a computer-implemented process.

A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.

A display apparatus includes a display section, a display control section, a distance detection section, and a coordinate detection section. The display section has a display area in which a selection image is displayed. When the selection image is formed by a plurality of images hierarchically associated with one another, the display control section displays consecutively the images configuring the selection image in accordance with the hierarchical association. The distance detection section detects a spatial distance between a pointer and the display area. The coordinate detection section detects coordinates which correspond to a position of the pointer. The display control section displays, together with a specified image displayed at a position corresponding to the coordinates detected by the coordinate detection section, related images in an immediately lower level in the hierarchy associated with the specified image, when the spatial distance detected is shorter than a preset threshold distance.