Table of Contents
11 relations: Algorithm, Fractal compression, Grayscale, Image, Image compression, Image scaling, Linearity, Lossy compression, Michael Barnsley, RGB color spaces, Vector quantization.
Algorithm
In mathematics and computer science, an algorithm is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation.
See Fractal transform and Algorithm
Fractal compression
Fractal compression is a lossy compression method for digital images, based on fractals. Fractal transform and fractal compression are fractals.
See Fractal transform and Fractal compression
Grayscale
In digital photography, computer-generated imagery, and colorimetry, a grayscale image is one in which the value of each pixel is a single sample representing only an amount of light; that is, it carries only intensity information.
See Fractal transform and Grayscale
Image
An image is a visual representation.
See Fractal transform and Image
Image compression
Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission.
See Fractal transform and Image compression
Image scaling
In computer graphics and digital imaging, image scaling refers to the resizing of a digital image.
See Fractal transform and Image scaling
Linearity
In mathematics, the term linear is used in two distinct senses for two different properties.
See Fractal transform and Linearity
Lossy compression
In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content.
See Fractal transform and Lossy compression
Michael Barnsley
Michael Fielding Barnsley (born 1946) is a British mathematician, researcher and an entrepreneur who has worked on fractal compression; he holds several patents on the technology.
See Fractal transform and Michael Barnsley
RGB color spaces
RGB color spaces are additive colorimetric color spaces specifying part of its absolute color space definition using the RGB color model.
See Fractal transform and RGB color spaces
Vector quantization
Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors.
See Fractal transform and Vector quantization