Image processing

Raster images are stored in a computer in the form of a grid of picture elements, or pixels.

Color vision is the ability of an organism or machine to distinguish objects based on the wavelengths (or frequencies) of the light they reflect, emit, or transmit.

A framebuffer (frame buffer, or sometimes framestore) is a portion of RAM containing a bitmap that is used to refresh a video display from a memory buffer containing a complete frame of data.

In image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection.

Supersampling is a spatial anti-aliasing method, i.

In mathematics (and, in particular, functional analysis) convolution is a mathematical operation on two functions (f and g); it produces a third function, that is typically viewed as a modified version of one of the original functions, giving the integral of the pointwise multiplication of the two functions as a function of the amount that one of the original functions is translated.

In imaging science, Image Processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, or a video, such as a photograph or video frame; the output of image processing may be either an image or a set of characteristics or parameters related to the image.

Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention, as well as visual representation of the function of some organs or tissues (physiology).

Monochrome describes paintings, drawings, design, or photographs in one color or values of one color.

Dither is an intentionally applied form of noise used to randomize quantization error, preventing large-scale patterns such as color banding in images.

In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之 Ōtsu Nobuyuki), is used to automatically perform clustering-based image thresholding, or, the reduction of a graylevel image to a binary image.

In computer graphics and digital imaging, scaling refers to the resizing of a digital image.

In pure and applied mathematics, particularly quantum mechanics and computer graphics and their applications, a spherical basis is the basis used to express spherical tensors.

Visual computing is a generic term for all computer science disciplines handling with images and 3D models, i.

A color layout descriptor (CLD) is designed to capture the spatial distribution of color in an image.

The signal-to-noise ratio (SNR) is used in imaging as a physical measure of the sensitivity of a (digital or film) imaging system.

Pixel aspect ratio (often abbreviated PAR) is a mathematical ratio that describes how the width of a pixel in a digital image compares to the height of that pixel.

The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering a latent image that has been blurred by a known point spread function.

In digital image processing, sub-pixel resolution can be obtained in images constructed from sources with information exceeding the nominal pixel resolution of said images.

In pure and applied mathematics, quantum mechanics and computer graphics, a tensor operator generalizes the notion of operators which are scalars and vectors.

Halide is a computer programming language designed for writing image processing code that takes advantage of memory locality, vectorized computation and multi-core CPUs and GPUs.

In image processing and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing image noise without removing significant parts of the image content, typically edges, lines or other details that are important for the interpretation of the image.