This is the term for operations on an image/volume which result in another image/volume. There are many image processing operations in C_Images 3D(tm), which fall into the following categories: • Defect Correction: eg. noise removal. • Image Enhancement: eg. data rescaling or highlighting features of interest. • Segmentation, eg. identifying a range of voxel values that separate the features of interest from the background. • Binary Image Manipulation: eg. Morphology.
The process of handling of digital images.
Manipulation of an image to improve or change some quality of the image.
The general term "image processing" refers to a computer discipline wherein digital images are the main data object. This type of processing can be broken down into several sub-categories, including: compression, image enhancement, image filtering, image distortion, image display and colouring.
Manual and digital techniques used to improve image geometry and appearance, to identify factors, and to extract selected information.
Techniques and procedures dealing with the acquisition, analysis, and output of digital images.
The refinement of a picture or photo to improve the clarity. It is used in image recognition and computer vision.
A general term for the acquisition and manipulation of digital images.
The manipulation of images that have been scanned or captured by a digital recording device. Can be used to modify or improve the image by changing its size, color, contrast, and brightness, or to compare and analyze images for characteristics that the human eye could not perceive unaided. See also: Image Manipulation Last Reviewed: 2003-03-01
Techniques for processing graphic images and video by a computer.
Techniques that manipulate the pixel values of an image to alter or improve image quality. Examples include brightness or contrast correction, color correction, changing size (scaling), or changing the shape of the image (warping).
Think of "data processing": it refers to the manipulation of raw data to solve some problem or enlighten the user in some way not possible without manipulation. Taken as the name of Image Processing Systems, Inc.
Techniques for filtering, storing, and retrieving images, as well as for processing pictorial information by computer.
Enhancing and manipulating an image, such as by adjusting its size, resolution, or colour palette.
the computation and manipulation of data from a picture in order to change its characteristic for some purpose.
Manipulating an image by changing its color, brightness, shape, or size.
Enhancing an image or extracting information or features from an image.
Generally refers to digital or analog enhancement and geometric manipulation of the video signal. Contrasts with image analysis, which emphasizes the measurement of image parameters. See also image analysis, image enhancement.
Generally refers to digital or analog enhancement and geometric modification of an image. Image analysis, which emphasizes the measurement of image parameters, is not to be confused with image processing.
Capturing and manipulating images to enhance or extract information.
encompasses all the various operations that can be applied to image format data. These include, but are not limited to, image compression, image restoration, image enhancement, image rectification, preprocessing, quantization, spatial filtering, and other image pattern recognition techniques.
Computer techniques used to interpret and manipulate raster data including: Enhancement - aid in the interpretation of an image by changing the display color and/or intensity of pixels (highlighting) that represent areas that share a common set (or range) of physical characteristics. Rectification - Fitting the image to a map base by eliminating distortion due to the curvature of the earth, position of the camera or scanner, and/or varying terrain elevation. Classification - Assigning pixies within an image to one category (land cover, soil category, etc.) or another according to their associated relative intensity measurements. Data Merging - superimposing vector data on top of image data.
Process of capturing, storing, analyzing, displaying, printing, and manipulating images; also called imaging. Image processing allows the conversion of paper documents such as reports, memos, and procedure manuals into an electronic form. Once saved electronically, the documents can be distributed electronically. 5.26
the manipulation and alteration of images using computer software such as Adobe PhotoShop.
To capture an image or representation, enter in a computer and process and manipulate it.
The use of automated or manual techniques to provide the means of assessing, preprocessing, extracting features, classifying, identifying, and displaying the original or processed imagery for subjective evaluation, interpretation, and further interaction with the data.
Think of "data processing": it refers to the manipulation of raw data to solve some problem or enlighten the user in some way not possible without the manipulation. So it is with image processing. Digitized images which have been "acquired" (scanned, captured by digital cameras) can be manipulated. The purpose may be simply to improve the image - change its size, its color, or simply to touch-up parts of it. But a more important application of image processing is to compare and analyze images for characteristics that a human eye alone couldn't perceive. This ability to perceive minute variations in color, shape and relationship has opened up applications for image processing in high-speed manufacturing quality control, criminal forensics, medicine, defense, entertainment and the graphic arts.
In the broadest sense, image processing is any form of information processing for which both the input and output are images, such as photographs or frames of video. Most image processing techniques involve treating the image as a two-dimensional signal and applying standard signal processing techniques to it.