In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more. This is...

image processor, also known as an image processing engine, image processing unit (IPU), or image signal processor (ISP), is a type of media processor...

In image processing, normalization is a process that changes the range of pixel intensity values. Applications include photographs with poor contrast due...

Linux kernel image, and execution of various startup scripts and daemons. Those are grouped into 4 steps: system startup, bootloader stage, kernel stage...

a compute kernel is a routine compiled for high throughput accelerators (such as graphics processing units (GPUs), digital signal processors (DSPs) or...

Kernel (image processing), a matrix used for image convolution Compute kernel, in GPGPU programming Kernel method, in machine learning Kernelization, a technique...

software, translating them into data-processing instructions for the central processing unit. The critical code of the kernel is usually loaded into a separate...

computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm...

In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician...

detection and related processes (see Kernel (image processing)) In optics, an out-of-focus photograph is a convolution of the sharp image with a lens function...

convolution Vandermonde convolution Convolution, in digital image processing, with a Kernel (image processing) Convolutional code, in telecommunication Convolution...

developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and...

Microscope image processing is a broad term that covers the use of digital image processing techniques to process, analyze and present images obtained from...

A monolithic kernel is an operating system architecture with the entire operating system running in kernel space. The monolithic model differs from other...

masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name...

couple of thousand examples without parallel processing. Kernel methods owe their name to the use of kernel functions, which enable them to operate in a...

Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal...

Traditionally, UNIX platforms called the kernel image /unix. With the development of virtual memory, kernels that supported this feature were given the...

and improved case of the general Fisher kernel, is an image representation obtained by pooling local image features. The FV encoding stores the mean...

of downwards as is common in image processing nowadays, and hence the vertical kernel is flipped. Since the Sobel kernels can be decomposed as the products...

NetBSD rump kernel is the first implementation of the "anykernel" concept where drivers either can be compiled into or run in the monolithic kernel or in user...

Kernel-based Virtual Machine (KVM) is a free and open-source virtualization module in the Linux kernel that allows the kernel to function as a hypervisor...

in Paint.NET (B-spline) Ringing artifacts Anisotropic filtering Kernel (image processing) Mitchell, Don; Netravali, Arun (June 1988). "Reconstruction Filters...

Core Image is a pixel-accurate, near-realtime, non-destructive image processing technology in Mac OS X. Implemented as part of the QuartzCore framework...

operating system kernel executable), also known as the kernel image, contains the kernel and executive layers of the Microsoft Windows NT kernel, and is responsible...

generally designed to output an error message to the console, dump an image of kernel memory to disk for post-mortem debugging, and then either wait for...

exclusion for process-wide data structures. The PEB is closely associated with the kernel mode EPROCESS data structure, as well as with per-process data structures...

image processing, the trade-off is between the reduction of aliasing artefacts and the preservation of sharp edges. Also as with any such processing,...

would be required for processing an image sized 100 × 100 pixels. However, applying cascaded convolution (or cross-correlation) kernels, only 25 weights for...

A kernel smoother is a statistical technique to estimate a real valued function f : R p → R {\displaystyle f:\mathbb {R} ^{p}\to \mathbb {R} } as the weighted...