I am a member of Digital Imaging research group at the Department of Digital Imaging and Media Communication, University of Bradford, West Yorkshire, BD7 1 DP England
Formo parte de grupo de investigación Digital Imaging en el Departamento de Digital Imaging y la Comunicación De los Medios de Comunicación, Universitario de Bradford, Al Oeste Yorkshire, el tratamiento de datos BD7 1 Inglaterra.
The Digital Imaging Research Group is to focus on research in image/video compression, image processing in compressed domain, medical imaging, image retrieval, interactive video, 3D imaging/video, object tracking, digital media security, digital watermarking and face recognition, pattern recognition. Further expansion and collaboration will also be considered to include computer graphics, virtual presence, computer gaming, animation and visual content processing, modeling and editing.
WHAT IS DIGITAL IMAGING
Digital imaging or digital image acquisition is the creation of digital images, typically from a physical object. The term is often assumed to imply or include the processing, compression, storage, printing, and display of such images.
A digital image may be created directly from a physical scene by a camera or similar device. Alternatively, it may be obtained from another image in an analog medium, such as photographs, photographic film, or printed paper, by a scanner or similar device. Many technical images—such as those acquired with topographic equipment, side-looking radar, or radio telescopes—are actually obtained by complex processing of non-image data. Finally, a digital image can also be computed from a geometric model or mathematical formula (however, in this case the name image synthesis is more appropriate
IMAGE PROCESSING
Image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can 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 are also possible. This article is about general techniques that apply to all of them.
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subfield digital signal processing, digital image processing has many advantages over analog image processing; it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing.
Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, biological signals such as ECG, radar signals, and many others. Processing of such signals includes storage and reconstruction, separation of information from noise (for example, aircraft identification by radar), compression (for example, image compression), and feature extraction (for example, speech-to-text conversion).
SIGNAL CLASSIFICATION
Signals can be either analog or digital, and may come from various sources.
There are various sorts of signal processing, depending on the nature of the signal, as in the following examples.
For analog signals, signal processing may involve the amplification and filtering of audio signals for audio equipment or the modulation and demodulation of signals for telecommunications. For digital signals, signal processing may involve the compression, error checking and error detection of digital signals.
- Analog signal processing—for signals that have not been digitized, as in classical radio, telephone, radar, and television systems
- Digital signal processing—for signals that have been digitized. Processing is done by digital circuits such as ASICs, FPGAs, general-purpose microprocessors or computers, or specialized digital signal processor chips.
- Statistical signal processing—analyzing and extracting information from signals based on their statistical properties
- Audio signal processing—for electrical signals representing sound, such as music
- Speech signal processing—for processing and interpreting spoken words
- Image processing—in digital cameras, computers, and various imaging systems
- Video processing—for interpreting moving pictures
- Array processing—for processing signals from arrays of sensors
