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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, 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. Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The ''acquisition'' of images (producing the input image in the first place) is referred to as imaging.〔Joseph P. Hornak, ''Encyclopedia of Imaging Science and Technology'' (John Wiley & Sons, 2002) ISBN 9780471332763〕 Closely related to image processing are computer graphics and computer vision. In computer graphics, images are manually ''made'' from physical models of objects, environments, and lighting, instead of being acquired (via imaging devices such as cameras) from ''natural'' scenes, as in most animated movies. Computer vision, on the other hand, is often considered ''high-level'' image processing out of which a machine/computer/software intends to decipher the physical contents of an image or a sequence of images (e.g., videos or 3D full-body magnetic resonance scans). In modern sciences and technologies, images also gain much broader scopes due to the ever growing importance of scientific visualization (of often large-scale complex scientific/experimental data). Examples include microarray data in genetic research, or real-time multi-asset portfolio trading in finance. ==See also== * Image sharpening * Image smoothing * Multidimensional systems * Near sets * Photo manipulation 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Image processing」の詳細全文を読む スポンサード リンク
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