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Essay's paper info

Topic:	Technology
Number of pages / Number of words:	2 / 288

Essay's paper body

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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