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Digital Image Processimg
Essay specific features
Written by:
Glen C
Date added:
February 27, 2015
Level:
Grade:
A
No of pages / words:
2 / 288
Was viewed:
1257 times
Rating of current essay:
Essay content:
Introduction
Digital Image Definitions
Common Values
Characteristics of Image Operations
Types of operations
Types of neighborhoods
Video Parameters
Tools
Convolution
Properties of Convolution
Fourier Transforms
Properties of Fourier Transforms
Importance of phase and magnitude
Circularly symmetric signals
Examples of 2D signals and transforms
Statistics
Probability distribution function of the brightnesses
Probability density function of the brightnesses
Average
Standard deviation
Coefficient-of-variation
Percentiles
Mode
SignaltoNoise ratio
Contour Representations
Chain code
Chain code properties
Crack code
Run codes
Perception
Brightness Sensitivity
Wavelength sensitivity
Stimulus sensitivity
Spatial Frequency Sensitivity
Color Sensitivity
Standard observer
CIE chromaticity coordinates
Optical Illusions
Image Sampling
Sampling Density for Image Processing
Sampling aperture
Sampling Density for Image Analysis
Sampling for area measurements
Sampling for length measurements
Conclusions on sampling
Noise
Photon Noise
Thermal Noise
On-chip Electronic Noise
KTC Noise
Amplifier Noise
Quantization Noise
Cameras
Linearity
Sensitivity
Absolute sensitivity
Relative sensitivity
SNR
Thermal noise (Dark current)
Photon noise
Shading
Pixel Form
Square pixels
Fill factor
Spectral Sensitivity
Shutter Speeds (Integration Time)
Video cameras
Scientific cameras
Readout Rate
Displays
Refresh Rate
Interlacing
Resolution
Algorithms
Histogram-based Operations
Contrast stretching
Equalization
Other histogram-based operations
Mathematics-based Operations
Binary operations
Arithmetic-based operations
Convolution-based Operations
Background
Convolution in the spatial domain
Convolution in the frequency domain
Smoothing Operations
Linear Filters
Non-Linear Filters
Summary of Smoothing Algorithms
Derivative-based Operations
First Derivatives
Second Derivatives
Other Filters
Morphology-based Operations
Fundamental definitions
Dilation and Erosion
Boolean Convolution
Opening and Closing
itandMiss operation
Summary of the basic operations
Skeleton
Propagation
Summary of skeleton and propagation
Gray-value morphological processing
Morphological smoothing
Morphological gradient
Morphological Laplacian
Summary of morphological filters
Techniques
Shading Correction
Model of shading
Estimate of shading
Basic Enhancement and Restoration Techniques
Unsharp masking
Noise suppression
Distortion suppression
Segmentation
Thresholding
Edge finding
Binary mathematical morphology
Gray-value mathematical morphology
Acknowledgments
References
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Introduction
Digital Image Definitions
Common Values
Characteristics of Image Operations
Types of operations
Types of neighborhoods
Video Parameters
Tools
Convolution
Properties of Convolution
Fourier Transforms
Properties of Fourier Transforms
Importance of phase and magnitude
Circularly symmetric signals
Examples of 2D signals and transforms
Statistics
Probability distribution function of the brightnesses
Probability density function of the brightnesses
Average
Standard deviation
Coefficient-of-variation
Percentiles
Mode
SignaltoNoise ratio
Contour Representations
Chain code
Chain code properties
Crack code
Run codes
Perception
Brightness Sensitivity
Wavelength sensitivity
Stimulus sensitivity
Spatial Frequency Sensitivity
Color Sensitivity
Standard observer
CIE chromaticity coordinates
Optical Illusions
Image Sampling
Sampling Density for Image Processing
Sampling aperture
Sampling Density for Image Analysis
Sampling for area measurements
Sampling for length measurements
Conclusions on sampling
Noise
Photon Noise
Thermal Noise
On-chip Electronic Noise
KTC Noise
Amplifier Noise
Quantization Noise
Cameras
Linearity
Sensitivity
Absolute sensitivity
Relative sensitivity
SNR
Thermal noise (Dark current)
Photon noise
Shading
Pixel Form
Square pixels
Fill factor
Spectral Sensitivity
Shutter Speeds (Integration Time)
Video cameras
Scientific cameras
Readout Rate
Displays
Refresh Rate
Interlacing
Resolution
Algorithms
Histogram-based Operations
Contrast stretching
Equalization
Other histogram-based operations
Mathematics-based Operations
Binary operations
Arithmetic-based operations
Convolution-based Operations
Background
Convolution in the spatial domain
Convolution in the frequency domain
Smoothing Operations
Linear Filters
Non-Linear Filters
Summary of Smoothing Algorithms
Derivative-based Operations
First Derivatives
Second Derivatives
Other Filters
Morphology-based Operations
Fundamental definitions
Dilation and Erosion
Boolean Convolution
Opening and Closing
itandMiss operation
Summary of the basic operations
Skeleton
Propagation
Summary of skeleton and propagation
Gray-value morphological processing
Morphological smoothing
Morphological gradient
Morphological Laplacian
Summary of morphological filters
Techniques
Shading Correction
Model of shading
Estimate of shading
Basic Enhancement and Restoration Techniques
Unsharp masking
Noise suppression
Distortion suppression
Segmentation
Thresholding
Edge finding
Binary mathematical morphology
Gray-value mathematical morphology
Acknowledgments
References
displayed 300 characters
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