Getty Images

Summary

Getty Images Holdings, Inc. is an American visual media company and supplier of stock images, editorial photography, video, and music for business and consumers, with a library of over 477 million assets. It targets three markets—creative professionals (advertising and graphic design), the media (print and online publishing), and corporate (in-house design, marketing and communication departments). Getty Images has distribution offices around the world and capitalizes on the Internet for distribution with over 2.3 billion searches annually on its sites. As Getty Images has acquired other older photo agencies and archives, it has digitised their collections, enabling online distribution. Getty Images operates a large commercial website that clients use to search and browse for images, purchase usage rights, and download images. Image prices vary according to and type of rights. The company also offers custom photo services for corporate clients. History In 1995, Mark Getty a

Official source

https://en.wikipedia.org/wiki/Getty_Images

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A Mirror Effect. Recomposition of the Industrial Valleys, Brussels and Montreal

This paper relates a comparative approach to the urbanisation processes of the valleys in Brussels and Montreal by the students of the atelier d’urbanisme opérationnel from the graduate master program in urbanism and spatial planning at UCLouvain (Belgium). During the atelier students have been working on a historical and prospective reading of the industrial valleys within the Brussels and Montreal metropolitan areas, subject in both cases to a strong real estate pressure. The purpose of the atelier was to investigate on the urbanisation processes with a special focus on mixed uses produced inside the valley by the proximity of residential and industrial spaces. The comparison between the images of the students’ projects, historical images and images of ongoing development projects have been envisioned for the subsequent research as a tool to understand how the student’s projects addressed the local and historical contexts. The work aims to contribute to the ongoing planning debate in Brussels, searching for the potentials of building resilience as well as maintaining productive activities inside the valley.

2019

Joint Demosaicing and Super-Resolution Imaging from a Set of Unregistered Aliased Images

Karim Krichane, Sabine Süsstrunk, Patrick Vandewalle

We present a new algorithm that performs demosaicing and super-resolution jointly from a set of raw images sampled with a color filter array. Such a combined approach allows us to compute the alignment parameters between the images on the raw camera data before interpolation artifacts are introduced. After image registration, a high resolution color image is reconstructed at once using the full set of images. For this, we use normalized convolution, an image interpolation method from a nonuniform set of samples. Our algorithm is tested and compared to other approaches in simulations and practical experiments.

2007

, ,

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies how much light is impinging on a surface. The lightness of shadowed regions in an image is increased and then the color of that part of the surface is corrected so that it matches the lit part of the surface. The result is compared with two other shadow removal frameworks. The advantage of our method is that after removal, the texture and all the details in the shadowed regions remain intact.

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