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UPIICSA IPN - Binary image

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.

The red, green, and blue color channels of a photograph by Sergei Mikhailovich Prokudin-Gorskii. The fourth image is a composite.

• 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)

and many more.

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.

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

• Digital image editing
• Digital image processing
• Computer graphics
• 2D computer graphics
• Computer vision
• GPGPU
• optics
• photography
• Photo manipulation
• imaging
• digitizing
• super-resolution
• image differencing
• image stabilization
• matte (filmmaking)
• standard test image
• OpenCV

1. The Image Processing Handbook by John C. Russ, ISBN 0849372542 (2006)
2. Fundamentals of Image Processing by Ian T. Young, Jan J. Gerbrands, Lucas J. Van Vliet, Paperback, ISBN 90-75691-01-7 (1995)
3. Image Analysis and Mathematical Morphology by Jean Serra, ISBN 0126372403 (1982)
4. Image Analysis and Mathematical Morphology, Volume 2: Theoretical Advances by Jean Serra, ISBN 0-12-637241-1 (1988)
5. Scale-Space Theory in Computer Vision by Tony Lindeberg, ISBN 0-7923-9418-6 (1994)
6. Front-End Vision and Multi-Scale Image Analysis by Bart M. ter Haar Romeny, Paperback, ISBN 1-4020-1507-0 (2003)
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. Digital Image Processing by William K. Pratt, Paperback, ISBN 0-471-01888-0 (1978)
10. Image Processing – The Programming Fundamentals , An ADISL Document, [1]

• 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
• Computer Vision at Wikia
• FILTERS : a free open source image processing library
• RoboRealm - Free Vision Software
• CImg - C++ template image processing library