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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 core of a PVC is the image processing unit (IPU) a programmable unit tailored for image processing. The Pixel Visual Core architecture was also designed either to be its own chip, like the SR3HX, or as an IP block for System on a chip (SOC) .
Raw image processing software (1 C, 10 P) Pages in category "Image processing software" The following 77 pages are in this category, out of 77 total.
The first warping technologies used a hardware image processing unit to warp the image. This processing unit was inserted between the graphics card and the projector. The problem with this technique is that it depends on the type of signal and the quality of the signal from the graphics card to warp it correctly. The process unit also needs ...
The EXPEED 5A image-processing engine is first seen in the Nikon 1 J5, which was announced April 2, 2015. [50] In the Nikon 1 J5 it is capable of 4k Ultra HD (3840*2160) at 15 fps, Full-HD (1920*1080) at 60 fps, HD (1280*720) at 120 fps, 800 x 296 at 400 fps and 400 x 144 at 1200 fps.
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is accomplished by doing a convolution between the kernel and an image. Or more simply, when each pixel in the output image is a function of the nearby pixels (including itself) in the input image ...
Related to money and/or monetary units. 4. All of the terms in this category precede a common three-letter noun (hint: the word typically refers to a small container that's used for drinking).
Image signal processors are DSPs specialized for processing images in particular. Deep learning processors, such as neural processing units are designed for efficient deep learning computation. Physics processing units (PPUs) are built to efficiently make physics-related calculations, particularly in video games. [19]