Whois & Analysis for imgix.com

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.

Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.

Images are also processed as three-dimensional signals with the third-dimension being time or the z-axis.

In mathematics, computer science and operations research, mathematical optimization, also spelled mathematical optimisation (alternatively named mathematical programming or simply optimization or optimisation), is the selection of a best element (with regard to some criterion) from some set of available alternatives.

In computer science, real-time computing (RTC), or reactive computing describes hardware and software systems subject to a "real-time constraint", for example from event to system response.

Real-time programs must guarantee response within specified time constraints, often referred to as "deadlines".

The correctness of these types of systems depends on their temporal aspects as well as their functional aspects.

Real-time responses are often understood to be in the order of milliseconds, and sometimes microseconds.

A system not specified as operating in real time cannot usually guarantee a response within any timeframe, although actual or expected response times may be given.

A machine is a tool containing one or more parts that uses energy to perform an intended action.

Machines are usually powered by chemical, thermal, or electrical means, and are often motorized.

Historically, a power tool also required moving parts to classify as a machine.

However, the advent of electronics has led to the development of power tools without moving parts that are considered machines.

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps, such as an algorithm.