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Nikon EXPEED, a system on a chip including an image processor, video processor, digital signal processor (DSP) and a 32-bit microcontroller controlling the chip. An image processor, also known as an image processing engine, image processing unit (IPU), or image signal processor (ISP), is a type of media processor or specialized digital signal processor (DSP) used for image processing, in ...
The software has two main parts: libvips is the image-processing library and nip2 is the graphical user-interface. The GUI aims to be about half-way between Photoshop and Excel . It is not designed for tasks such as retouching photographs, but more useful for the many other imaging tasks that programs like Photoshop are used for.
Secaucus is the site of NJ Transit's Frank R. Lautenberg Secaucus Junction rail station, which connects NJ Transit's two commuter rail networks in northern New Jersey. [193] As the station is in the south end of the town, access from the rest of Secaucus is limited via County Avenue, Meadowlands Parkway or NJ Turnpike Interchange 15X.
ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin).
The Expeed 3A, a successor to the Expeed 3 EI-160 used in the Nikon 1 series, was first released in the Nikon 1 V2 and mainly features an increased world record image-processing speed of up to 850 megapixels per second. [42] This enables 60 frames per second (15 fps with full autofocus) speed even with the new 14 megapixel image sensor. It is ...
Many of the techniques of digital image processing, or digital picture processing as it often was called, were developed in the 1960s, at Bell Laboratories, the Jet Propulsion Laboratory, Massachusetts Institute of Technology, University of Maryland, and a few other research facilities, with application to satellite imagery, wire-photo standards conversion, medical imaging, videophone ...
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Computational imaging systems span a broad range of applications. While applications such as SAR, computed tomography, seismic inversion are well known, they have undergone significant improvements (faster, higher-resolution, lower dose exposures [3]) driven by advances in signal and image processing algorithms (including compressed sensing techniques), and faster computing platforms.