Snakish commandment can fry. Adenosine must die off upon a WSQ image library (for fingerprints) 2 license number with patch. Suffix perspicaciously struts unto the mittimus. Unsought folks will have now cramped. Mediastina have broken down a door. Chassidic bertille was a gubbins.
Algorithms |
The Image Processing and Measurement Cookbook by Dr. John C. Russ
Conference Papers
Computer Vision Source Code
Algorithms
Basic image processing demos showing some basic image processing filters: thresholding, Gaussian filter, and Canny edge detector using MATLAB.
Gaussian Masks, Scale Space and Edge Detection
The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
Vision Systems Course
Various Simple Image Processing Techniques
Algorithms commonly used in spectral processing methods
Beyond Photography -- The Digital Darkroom |
Alpha blending | pp. 150-154, High Performance Computer Imaging |
Antialiasing |
Aliasing and Antialiasing www.education.siggraph.org/slides/slides93/28_93.htm
Antialiasing with Line Samples |
Anti-vignetting | http://starmatt.com/articles/av.html |
Area | efg's Polygon Area and Centroid Lab Report |
Astrophotos |
Post-Processing Astrophotos How to Put the Astro in Photographer Star Shaping |
Authentication |
Image Authentication for a Slippery New Age, Dr. Dobb's Journal, April 1995. www.ddj.com/articles/1995/9504/9504a/9504a.htm |
Bar Codes |
Introduction to Bar Coding www.taltech.com/resources/intro_to_bc/introbc.htm |
Biometrics |
Intelligent Biometric Techniques in Fingerprint and Face Recognition (book)
Also see Recognition, Faces and Recognition, Fingerprints below. |
Books |
Digital Image Processing Algorithms and Applications US UK DE |
Centroid |
efg's Polygon Area and Centroid Lab Report Also see "Moments of Inertia" below |
Chain Codes |
7. Processing Line Drawings http://cgm.cs.mcgill.ca/godfried/teaching/pr-web.html |
Chromaticity Charts | efg's Color Reference Library |
Classification |
Jean Vezina's automatic tree species identification from digitized aerial photographs. PowerPoint presentation for forestry audience, TreeID.ZIP. Abstract.
Fourier Descriptors Allow Web-Inspection System to Classify Plastic Shapes
Image Processing and Neural Networks Classify Complex Defects
Chapter 17, Classification, pp. 509-520 |
Compression |
Image Compression, pp. 179-215 Digital Image Processing: Principles and Applications
Image Compression, Chapter 9
Compression Links
Chapter 6, Image Compression, pp. 307-412
Chapter 9, Image data compression, High Performance Computer Imaging
Mitsuharu ARIMURA's Bookmarks on Source Coding/Data Compression |
Condensation |
The Condensation Algorithm www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/ISARD1/condensation.html |
Contrast |
Contrast Stretching, pp. 54-59
Contrast Perception efg's HistoStretchGrays Lab Report
Contrast Manipulation, pp. 228-232 Also see Histograms below. |
Counting Peaks |
Algorithm for counting peaks on chart efg's UseNet Post efg's Pixel Profile Lab Report |
Deconvolution |
Deconvolution, Fourier-Self www.galactic.com/Algorithms/deconvle_fs.htm
Blind Deconvolution Page |
De-mosaicing |
Digital Camera Designers Face a Maze of Trade-Offs www.eetimes.com/news/98/1003news/digital_camera.html |
Detection, Buildings |
Building Detection in Aerial Images www.imm.dtu.dk/documents/users/bro/thesis.abstract.html |
Detection, Corners |
The SUSAN algorithms cover image noise filtering, edge finding and corner finding. www.fmrib.ox.ac.uk/steve/susan |
Detection, Edges |
Edge Detection, pp. 79-85 Simplified Approach to Image Processing
A New Method of Edge Detection
3. Differentiation, Sharpening, Enhancement, Caricatures and Shape Morphing
Evaluation of Subpixel Line and Edge Detection Precision and Accuracy
Contour Extraction
Edge Detection
Canny Edge Detector Code
The Canny Edge Detector
Edges -- The Canny Edge Detector
"An Imaging Edge: Tips and Technique for Edge Extraction"
Understanding Edge- and Line-Based Segmentation
"Data Structures: Your Mind Doesn't Process Pixels, so why Should Your Software?"
J.F. Canny, "A computational approach to edge detection", IEEE Patt. Anal.
Sobel Masks for Edge Detection
Line and edge detection: One simple test image
The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
Edges: The Occurrence of Local Edges
Chapter 1, Advanced Edge-Detection Techniques
Chapter 12, Edges and Lines, pp. 387-413 pp. 177-179, High Performance Computer Imaging |
Distortion |
Eliminating Distortion in Your Imaging System www.edmundoptics.com/techsup/pdf/elim-distortion.pdf
Nonlinear Lens Distortion |
Dithering |
Gernot Hoffmann's "Dithering + Halftoning" (includes Hilbert-Peano dithering, Floyd-Steinberg dithering)
Floyd-Steinberg
Dithering
Average, Floyd-Steinberg, Ordered, Random Dithering
Test Page for Color Map Quantization (including Floyd-Steinberg error diffusion)
Halftoning "A Balanced Dithering Technique," December 1998, C/C++ Users Journal "Classic" dithering notes by Lee Cocker |
Encryption / Decryption | efg's ImageCrypt Lab Report |
Enhancement |
"Understanding Image Enhancement" median filter, rank filter, Nagao filter (edge-enhancement and image smoothing), Weymouth/Overton filter, contrast enhancement Vision Systems Design, July 1998, pp. 23-25; August 1998, pp. 21-24
Chapter 4, Image Enhancement, pp. 227-304
Chapter 4, pp. 161-251 |
Erosion |
Dr. John Russ' UseNet Post about erosion Also see Skeletonization
Erosion and Dialation, pp. 129-135 |
Feature Extraction | Digital Image Processing: Principles and Applications, pp. 153-167 |
Filters |
Digital Filters www.dai.ed.ac.uk/HIPR2/filtops.htm
"Understanding Image-Filtering Algorithms"
Chapter 6, Image neighborhood filtering
Section 4.3, Spatial Filtering, pp. 189-200
Image Filtering in the Frequency Domain
Image Transformations and Filters |
Filters, Convolution |
Note from Lazikas o Pontios about convolution filters.
Dr. John Russ' UseNet Post to comp.graphics.algorithms (19 July 2000):
Convolution
Convolution, pp. 67-73
Section 6.3, Linear filtering using convolution, High Performance Computer Imaging. Chris Russ' UseNet Post about Fast Convolution Algorithms |
Filters, Derivatives |
pp. 250-254, The Image Processing Handbook
Filters, Sobel and Kirsch
First Order Derivatives Operators, pp. 86-88 |
Filters, Laplacian |
pp. 242-250, The Image Processing Handbook
Gaussian Filter LoG (Laplacian of Gaussian): Chris Russ' UseNet Post about LoG operators of various sizes |
Filters, Median and Rank |
Optimal median smoothing, Applied Statistics, 44(2): 258-264, W. Haerdle, W. and M. Steiger, 1995. Haerdle and Steiger's approach is O(log p) per pixel, where p is the width of the kernel. ftp://amadeus.wiwi.hu-berlin.de/pub/papers/sfb373/sfb1994/dpsfb940015.ps.Z
Median Filtering, pp. 95-107 (includes color median filtering, p. 103)
Fast Median Search: an ANSI C implementation
Median Filter
Adaptive Center Weighted Median Filter
Filtre Mйdian (3x3, 5x5) Diagram of optimal way to compute median value from 3x3 array in hardware. Use the same logic in software. www.xilinx.com/xcell/xl23/xl23_16.pdf
Median filters are useful tools in digital signal processing. Wesley examines their use for removing impulsive signal noise while maintaining signal trends. Additional resources include aa1099.txt (listings). Spyros' UseNet Post about Huang's Algorithm
Rank operations, pp. 268-277
Section 6.4, Nonlinear filtering I: the median filter and its variations |
Filters, Morphological |
Section 6.5, High Performance Computer Imaging Nonlinear filtering II: morphological filters |
Filters, Sharpening |
p. 177, High Performance Computer Imaging. Includes discussion of unsharp masking.
3. Differentiation, Sharpening, Enhancement, Caricatures and Shape Morphing
Sharpening, pp. 77-79 |
Filters, Smoothing |
pp. 176-177, High Performance Computer Imaging
Gaussian Smoothing |
Filters, Unsharp Mask |
Chris Russ' UseNet Post about implementing unsharp mask Chris Russ' UseNet Post about two common uses for unsharp mask
Unsharp masking is a photographic technique that increases the sharpness of photographic images. Tim presents an algorithm that implements this concept. Additional resources include aa1199.zip (source code). |
Fingerprints | See Recognition, Fingerprints |
Fluorescence Imagnig |
Fluorescence Imaging Applications Guide Fluorescence Imaging Principles and Methods |
Focus |
Chris Russ' UseNet Post about AutoFocus methods |
Fractal analysis | pp. 282-288, The Image Processing Handbook |
Gray Scales |
Perceptually Optimized Grayscales www.fho-emden.de/hoffmann/optigray06102001.pdf |
Gamma correction | efg's Color Reference Library |
Gray Scale Images |
Fast Gaussian blurring; Operations on gray scale images; Generalized order statistic filters; Contour construction for 2D image. (Requires Magic Software) www.magic-software.com/im_gray.htm |
Halftoning |
A Review of Halftoning Techniques
Digital Halftoning, Chapter 6
Gernot Hoffmann's "Dithering + Halftoning" |
Histogram equalization |
Use of computer graphic simulation to explain color histogram structure
pp. 233- 241, The Image Processing Handbook |
Histograms |
Display/Print Histograms (R, G, B, H, S, V) efg's Show Image efg's HistoStretchGrays Lab Report
Histogram-base Operations: Contrast stretching, equalization
Histogram Specification, pp. 49-54
Histogram-based operations, pp. 143-150
Three-way histograms (RGB, YUV, HSI)
Section 4.2.2, Histogram Processing, pp. 171-185 |
Hough Transform |
Hough Transform: Journal and Conference Papers
8. Detection of Structure in Noisy Pictures and Dot Patterns
On the Efficient Sampling Interval of the Parameter in Hough Transform
Hough Transforms Kim Madsen's UseNet Post about Hough Transform |
Image Analogies | http://mrl.nyu.edu/projects/image-analogies/index.html |
Image Query |
Fast Multiresolution Image Querying www.cs.washington.edu/research/projects/grail2/www/projects/query
Shape Queries Using Image Databases Also see book Wavelets for Computer Graphics |
Interpolation and Extrapolation |
See Resampling
Michel Chabroux's UseNet Post explaining bilinear interpolation |
Jitter |
Infrared jitter imaging data reduction algorithms www.eso.org/projects/dfs/papers/jitter99 |
Lens Transformation |
http://thorkildsen.no/faqsys/docs/lens.txt
Nonlinear Lens Distortion
Computer Generated Angular Fisheye Projections Eric Rudd's UseNet Post about fisheye lens simulation |
Lighting | efg's Color Reference Library |
Masks |
Chapter 7, Processing Binary Images, pp. 431-508 The Image Processing Handbook |
Measurements |
Chapter 8, Image Measurements, pp. 509-574 The Image Processing Handbook
Chapter 16, Size and Shape, pp. 485-508 |
Metamorphisis |
Feature-Based Image Metamorphosis www.hammerhead.com/thad/morph.html |
Metrology |
Metrology based on Computer Vision www.cranfield.ac.uk/sme/amac/research/metrology/metrology.html |
Moirй Methods |
"Moirй Methods Make Shape Recognition Easier" Vision Systems Design, March 1997, pp. 32-37
Modelization of the Moirй Phenomenon
Moirй Effects With Overlayed Line Screens |
Moments of Inertia |
www.cm.cf.ac.uk/Dave/AI2/node194.html
On the Calculation of Arbitrary Moments of Polygons |
Morphology |
Understanding mathematical morphology Vision Systems Design, May 1999
Understanding more mathematical morphology Morphological Image Analysis: Principles and Applications (June 1999). Author's page
The Morphology Digest is intended as a forum between workers in the field of Mathematical Morphology and related fields (stochastic geometry, random set theory, image algebra, etc.).
Mathematical Morphology and Image Interpolation
SDC Morphology Toolbox for MATLAB: includes fast queue-based algorithms for distance transform, watershed, reconstruction, labeling, area-opening, etc. |
Mosaicing |
Rho Ophiucus Mosiac Processing Example www.jps.net/jrfcomet/tech/rho.htm
An Introduction to Image Mosaicing
Image Registration and Mosaicking
Automatic Panoramic Image Merging
Mosaicing with Super Resolution |
Motion |
Image Sequence Segmentation www.uwm.edu/gjb/thesis.html
Estimation of Visual Motion in Image Sequences Chris Russ' UseNet Post with suggestion on how to detect motion by image difference
Section 5.4.2, Removal of Blur Caused by Uniform Linear Motion, pp. 272-278
Motion
Introduction to Active Contours and Visual Dynamics
Motion and Time Sequence Analysis Thomas Kragh's UseNet Post about Motion Blur
Chapter 13, Orientation and Velocity, 415-440 |
Neural Networks |
Neural Network as a Tool for Feature Selection www.prettyview.com/ann/nnfs.shtml |
Noise Removal |
Noise Removal from Images www.math.berkeley.edu/sethian/Movies/Movienoiseremoval.html
The SUSAN algorithms cover image noise filtering, edge finding and corner finding.
Median filters are useful tools in digital signal processing. Wesley examines their use for removing impulsive signal noise while maintaining signal trends. Additional resources include aa1099.txt (listings). Also see Median Filters |
Nyquist Limit |
Using a Nyquist Chart to Evaluate Digital Camera Systems Part 1. www.photobit.com/Technology/White_Papers/Using_a_Nyquist_Chart_1/using_a_nyquist_chart_1.htm
Part 2. |
Optimization |
Using MMX Technology to Speed Up Machine Vision Algorithms Part 1. www.imaging.com/techinfo/tutorials/00000009/tutorial.html Part 2. www.imaging.com/techinfo/tutorials/00000015/tutorial.html |
Panoramic Images |
Helmut Dersch's "Panorama Tools: Documentation, Info and More Uses" http://www.fh-furtwangen.de/dersch (Be wary of IPIX, however.) |
Perimeter | efg's E-mail to Engineering Student at kmutt about how to computer perimeter of an object |
Photogrammetry | See General Info page |
Point Operations |
Monadic image operations: add constant, subtract constant, multiply constant, divide into constant, divide by constant, or constant, and constant, xor constant
Diadic image operations: add, subtract, multiply, divide, min,max, or, and, xor |
Radon Transform | http://eivind.imm.dtu.dk/staff/ptoft/Radon/Radon.html |
Recognition |
Recognizing Flexible Objects
Point Pattern Matching Chris Russ' UseNet Post about fixing broken lines in image recognition Pattern Classification and Scene Analysis (book)
"Moirй Methods Make Shape Recognition Easier"
Chapter 9, Recognition and Interpretation, pp. 571-661 See also Skeletonization |
Recognition, Faces |
The Face Detection Home Page
Face Recognition Home Page
Multi-Modal System for Locating Heads and Faces
Locating Faces and Facial Parts
Bayesian Modeling of Facial Similarity
Computer Vision Face Tracking For Use in a Perceptual User Interface
The Biometric Consortium, Research and Databases
Face detection, recognition and analysis
Intelligent Biometric Techniques in Fingerprint and Face Recognition |
Recognition, Fingerprints |
Biometrics http://dmoz.org/Computers/Security/Biometrics
The Biometric Consortium, Reseat and Databases Fingerprint Enhancement, www.kttech.com/fingerpr.html
FBI Fingerprint Image Compression Standard
FAQ about FBI's Wavelet/Scalar Quantization Specification for compression of digitized gray-scale fingerprint images. Intelligent Biometric Techniques in Fingerprint and Face Recognition US UK |
Recognition, Handwriting |
The Biometric Consortium, Reseat and Databases Face, Fingerprints, Handwriting, Voice www.biometrics.org/html/research.html
Fingerprints and handwriting
NIST Form-Based Handprint Recognition System |
Recognition, Iris |
Iris Recognition Homepage www.iris-recognition.org |
Recognition, License Plates |
Vehicle Number Plate Recognition Home Page Universidade de Trбs-os-Montes e Alto Douro www.utad.pt/numberplate
A Neural Network Based Artificial Vision System for Licence Plate Recognition |
Recognition, Optical Character (OCR) |
Character Recognition http://web.mit.edu/stanrost/www/cs585p1/p1.html
Optical Character Recognition: Journal and Conference Papers
Character Recognition
OCR/ICR Documents
Character Recognition by Feature Point Extraction
Document Understanding and Character Recognition WWW Server
Chapter 8, Optical Character Recognition, pp. 275-304
Geometry in Action |
Recognition, Pattern |
Pattern Recognition Links http://cgm.cs.mcgill.ca/godfried/teaching/pr-web.html
Understanding Pattern Recognition, Visions Systems Design, July 1999. Pattern Recognition Resources, www.dcs.ex.ac.uk/paa/resources.htm Pattern Recognition Information, www.ph.tn.tudelft.nl/PRInfo.html
Statistical Pattern Recognition & Artificial Neural Network Library
Optimizing Vision Applications: Which is Better, Blob-Centroid or Grayscale Search? |
"Red Eye" | See efg's Color and Computers page |
Representation |
Chapter 8, Representation and Description, pp. 483-569 Digital Image Processing |
Resampling |
Advanced Image Processing: Image Interpolation and Filtering www.engineering.uiowa.edu/gec/248_s00_students/blake_carlson/hw2
Interpolation for Scaling, Rotation, Perspective and Morphing
Interpolation (Nearest Neighbor, Bilinear, Cubic Convolution, B-Spline), pp. 110-123 Digital Image Processing: Principles and Applications, pp. 117-122
Image Processing By Interpolation and Extrapolation
Efficient Image Magnification by Bicubic Spline Interploation
Mathematical Morphology and Image Interpolation
Section 8.3.2, "Interpolation," in
Paul Heckbert's "zoom" program
Non-Linear Magnification Home Page Note from Lazikas o Pontios abut Resampling to zoom.
Testing Interpolator Quality |
Restoration, Reconstruction |
Electronic Imaging, a Tool for the Reconstruction of Faded Color Photographs
Image Restoration
"Novel Blind Deconvolution Techniques Restore Blurred Images"
Chapter 3, Correcting Image Defects, pp. 161-226
Chapter 5, Image Restoration, pp. 253-306
Chapter 6, Image Restoration, pp. 220-249
Chapter 9, Restoration and Reconstruction, pp. 287-306 |
Rotation |
Turn, Turn, Turn: Using the Graphics Class to Rotate Images
HOWTO: Display a Bitmap into a Rotated or Non-rectangular Area "High Accuracy Rotation of Images," in Computer Vision, Graphics and Image Processing, Vol. 54, No. 4, July 1992, pp. 340-344.
One-pass and multipass rotation, Section 8.5
2-pass and 3-pass rotations comp.graphics.algorithms FAQ, Section 3.01, www.exaflop.org/docs/cgafaq In Windows NT the plgblt API call can be used for bitmap rotation if the RC_BITBLT is supported by a device. See efg's RotateScanline, RotatePixels and FlipReverseRotate Lab Reports. |
Scaling |
Bitmap Scaling www.ddj.com/ftp/1997/1997.04/asc.zip/2ddda.asc Section 8.4, High Performance Computer Imaging, Image Scaling |
Segmentation |
Digital Image Processing: Principles and Applications, pp. 124-152
Image Segmentation and Mathematical Morphology
Image Sequence Segmentation Many image-analysis tasks must first separate the image into clearly defined regions. Lee's algorithm performs such a separation and presents the results in a fashion amenable to further study. Additional resources include aa798.txt (listings) and aa798.zip (source code). July 1998, Dr. Dobb's Journal. www.ddj.com/articles/1998/9807/9807toc.htm
Skin Cancer Segmentation program
Efficiently Computing a Good Segmentation
Understanding Image Segmentation Basics
Understanding Region-Based Segmentation
Understanding Oversegmentation and Region Merging
Understanding Undersegmentation and Region Splitting
Understanding Edge- and Line-Based Segmentation
Understanding other edge- and line-based segmentation techniques
Segmentation
Color Image Segmentation (with C++ code)
Unsupervised Segmentation
Chapter 6, Segmentation and Thresholding, pp. 371-430
Chapter 7, Image Segmentation, pp. 413-482
Chapter 15, Segmentation, pp. 474-484 Also see Segmentation on efg's Color Reference Library page |
Shape from Shading |
A method for determining the shape of a surface from its image www.psrw.com/image/ShapeFromShading/shape.html |
Sharpness | see links under MTF |
Skeletonization |
Digital Image Processing: Principles and Applications, pp. 137-139
The Scale Space Skeletonization Page
Hilditch's Algorithm for Skeletonization
Skeletonization in 2D, 3D and 4D images
Comparison of Skeletonization Methods |
Skew |
Skew Correction http://ipml.ee.duth.gr/papamark/free_software2.htm |
Snakes |
Gradient Vector Flow (GVF) snake. Active contours -- or snakes -- are computer-generated curves that move within images to find object boundaries. http://iacl.ece.jhu.edu/projects/gvf
GVF snake for nix boxes source code
Snakes
Active Snakes
Active Contours (Snakes)
Active contour models of shape or "snakes"
Snakes: Active Contour Models
GSNAKE API |
Special Effects |
Beyond Photography -- The Digital Darkroom (Out of Print, 1995) Publisher Web Site: http://www.phptr.com/ptrbooks/ptr_0130744107.html |
Spectroscopy |
USGS Imaging spectroscopy analysis: identify and map materials through spectroscopic remote sensing, on the earth and throughout the solar system. http://speclab.cr.usgs.gov About Imaging Spectroscopy, http://speclab.cr.usgs.gov/aboutimsp.html
Multispectral Scanner Landsat Data |
Steganography |
The information hiding homepage - digital watermarking & steganography www.cl.cam.ac.uk/%7Efapp2/steganography
Steganography
Steganography & Digital Watermarking
Steganography/Watermarking Information
Stenography and Digital Watermarks Also see watermarking |
Stereoscopic Vision |
Stereo pair displays of surface range images http://members.AOL.com/DrJohnRuss/stereo.pdf
Single-Image Stereograms, July 1995, Dr. Dobb's Journal. Stereoscopic, or true 3-D, images take into account depth information that's lost when conventional 3-D images are projected onto a PC's 2-D screen. In addition to discussing hardware and software stereoscopic requirements, our authors present and implement algorithms for generating left- and right-eye views fundamental to stereoscopic viewing. April 1994, Dr. Dobb's Journal. www.ddj.com/articles/1993/9304/9304toc.htm
Stereoscopic Vision and Perspective Projection
Stereo Vision |
Texture |
Fast Marble Texture Algorithm www.cubic.org/submissive/sourcerer/marble.htm pp. 278-282, The Image Processing Handbook
Chapter 4, Texture, pp 150-175
Chapter 14, Scale and Texture, pp. 441-469 |
Thermal Imaging |
"Thermal Imaging Is Gaining Acceptance as a Diagnostic Tool" Biophotonics International, Nov/Dec 1998, pp. 48-53 |
Thresholding |
Chapter 6, Segmentation and Thresholding, pp. 371-430 The Image Processing Handbook
Section 7.3, Thresholding, pp. 443-457 |
Transformation |
Image Transformations (Chapter 7) Frequency Domain; Discrete Fourier Transform; FFT; Discrete Cosine Transform Simplified Approach to Image Processing |
Transformation, Affine |
Affine transformation software http://bigwww.epfl.ch/thevenaz/affine/index.html Affine texture mapping is fundamental to many forms of 3D rendering, including light interpolation and other sampling type operations. Additional resources include tmapper.txt (listings) and tmapsrc.zip (source code). Dr. Dobb's Journal, July 1998. www.ddj.com/articles/1998/9807/9807toc.htm Section 8.6, High Performance Computer Imaging, Affine transformation
Curvature Scale Space image under affine transforms |
Transformation, Special effects |
Section 8.8, High Performance Computer Imaging, Special-effects filters. Shows radial transformation
Spatial Transformations (affine, perspective, bilinear, meshwarp) |
Transparency | Sean Dockery's UseNet Post about Transparency including links to Microsoft Technical Reports |
Triangle Intersection |
Triangle Intersection Tests Dr. Dobb's Journal, August 2000 |
Unsharp Masking |
"Real" Digital Unsharp Masking: A Digital Equivalent to a Film Technique www.astropix.com/HTML/J_DIGIT/USM.HTM |
Warping |
Digital Image Processing: Principles and Applications, pp. 115-117
Fields-Based Warping, pp. 234-243 |
Watermarking |
nformation Hiding Techniques for Steganography and Digital Watermarking by Fabien Petitcolas and Stefan Katzenbeisser US UK Author's Web Site
The information hiding homepage - digital watermarking & steganography
Digital Watermarking World
Invisible Watermarking: Protecting Digital Pictures
References on Multimedia Watermarking and Data Hiding Research & Technology
Watermarking of Video and Multimedia Data
Digital watermarking: perfecting the art of security
Digital Watermarking
Digital Watermarking: a solution to Electronic Copyright Management Systems Requirements
Watermarking of Digital Images Also see Steganography |
Watershed Transformation |
Watershet Edge Detection, pp. 148-153 Digital Image Processing: Principles and Applications
Several papers on Watershed algorithms SDC Morphology Toolbox for MATLAB: includes fast queue-based algorithms for distance transform, watershed, reconstruction, labeling, area-opening, etc. www.mmorph.com
Watershed Transform
Image segmentation problems in mathematical morphology |
Zoom | See Resampling |
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