Essay About Digital Image Definitions And Video Cameras

Digital Image Processimg
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Image Processing Fundamentals – Contents
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