Image processing

From Wikipedia, the free encyclopedia

Image processing is any form of information processing for which the input is an image, such as photographs or frames of video; the output is not necessarily an image, but can be for instance a set of features of the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.

[edit] Typical operations

Among many other image processing operations are:

• Geometric transformations such as enlargement, reduction, and rotation
• Color corrections such as brightness and contrast adjustments, quantization, or conversion to a different color space
• Registration (or alignment) of two or more images
• Combination of two or more images, e.g. into an average, blend, difference, or image composite
• Interpolation, demosaicing, and recovery of a full image from a RAW image format like a Bayer filter pattern
• Segmentation of the image into regions
• Image editing and digital retouching
• Extending dynamic range by combining differently exposed images (generalized signal averaging of Wyckoff sets)
• Image restoration to increase the quality of a digital image, such as deconvolution to reduce blur, restoration of faded color, removal of scratches, etc.
• Edge preserving smoothing

Besides static two-dimensional images, the field also covers the processing of time-varying signals such as video and the output of tomographic equipment. Some techniques, such as morphological image processing, are specific to binary or grayscale images.

[edit] Applications

• Photography and printing
• Satellite image processing
• Machine Vision
• Medical image processing
• Face detection, feature detection, face identification
• Microscope image processing
• Car barrier detection

[edit] See also

[edit] References

1. Computer Imaging: Digital Image Analysis and Processing , Scott E Umbaugh, The CRC Press, 2005, CVIPtools CD-ROM with book, ISBN: 0-84-932919-1.
2. Digital Image Processing: An Algorithmic Approach Using Java by Wilhelm Burge, Mark J. Burge, ISBN 1846283795 (2007)
3. The Image Processing Handbook by John C. Russ, ISBN 0849372542 (2006)
4. Front-End Vision and Multi-Scale Image Analysis by Bart M. ter Haar Romeny, Paperback, ISBN 1-4020-1507-0 (2003)
5. Fundamentals of Image Processing by Ian T. Young, Jan J. Gerbrands, Lucas J. Van Vliet, Paperback, ISBN 90-75691-01-7 (1995)
6. Scale-Space Theory in Computer Vision by Tony Lindeberg, ISBN 0-7923-9418-6 (1994)
7. Geometry-Driven Diffusion in Computer Vision by Bart M. ter Haar Romeny (Ed.), ISBN 0792330870{ (1994)
8. Digital Image Processing by Rafael C. Gonzalez, Richard E. Woods, ISBN 0-201-50803-6 (1992)
9. Image Analysis and Mathematical Morphology, Volume 2: Theoretical Advances by Jean Serra, ISBN 0-12-637241-1 (1988)
10. Image Analysis and Mathematical Morphology by Jean Serra, ISBN 0126372403 (1982)
11. Digital Image Processing by William K. Pratt, Paperback, ISBN 0-471-01888-0 (1978)

[edit] External links

• ImageJ A free, comprehensive image processing system with full Java source distributed by the National Institutes of Health.
• Endrov An open source plugin framework oriented towards image analysis.
• A series of Image Processing JAVA Applets developed at TU-Braunschweig
• International Journal of Signal Processing
• CVIPtools A comprehensive software environment for computer vision and image processing education and research and development
• Lectures on Image Processing: A collection of 18 lectures in pdf and ppt format from Vanderbilt University, by Alan Peters.
• VIPBase: A collection of utilities for Video and Image Processing
• Tutorial for image processing
• Hypermedia Image Processing Reference
• Fuzzy Image Processing
• EMVA - European Machine Vision Association
• Wikia has a wiki about this topic: Computer Vision
• FILTERS : a free open source image processing library
• RoboRealm - Free Vision Software
• CImg - C++ template image processing library
• CLIP - Classical Image Processing Library
• Image Processing Library from Intel(R) Integrated Performance Primitives
• Image Apprentice: A C/C++ based Image Processing Learner's Toolkit from IIT Kanpur
• Orfeo Toolbox (OTB): A C++ template open source image processing library for remote sensing
• A CSharp (.Net) class library for Image Enhancements
• Online image upsizing example
• VIPS/nip image processing library and spreadsheet-like interface
• Free SIMD Optimized Image processing Library for Mathematical Morphology and Linear processingar:المعالجة الرقمية للصور

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