Digital Image Processing

Features Digital Image Processing

The app is a complete free handbook of Digital Image Processing which covers important all topics with detailed notes, diagrams, equations, formulas & course material.The App is designed for quick learning, revisions, references at the time of exams and interviews.
This Engineering eBook cover most of related topics and Detailed explanation with all the basics topics.
Some of topics Covered in this Digital Image Processing application are:1.
Global properties using B-rep model2.
Compression fundamentals3.
Lossless data compression4.
Image restoration5.
Linear position invariant degradation models6.
Elements of visual perception7.
Color perception8.
Image sampling and quantization9.
Basic relationship between pixels10.
Basic geometric transformations11.
Introduction to Fourier transform and DFT12.
Fast Fourier transform13.
Properties of two dimensional Fourier transform14.
Separable image transforms15.
Walsh, Hadamard, discrete cosine, Haar and Slant transforms16.
Spatial domain methods17.
Grey scale manipulation and histogram equalization18.
Image subtraction and Image averaging19.
Spatial filtering on images20.
Smoothing filters on images21.
Sharpening filters on images22.
Derivative filters on images23.
Laplacian filters on images24.
Frequency domain25.
Homomorphic filtering26.
Image restoration process27.
Model of image degradation28.
Noise models29.
Characteristics of the noise models30.
Order-Statistics Filters31.
Adaptive filters - Digital Image Processing32.
Least-Mean-Square (LMS) Algorithm33.
Blind Image Restoration and Recognition34.
Pseudo-Inverse Filtering35.
Singular value decomposition36.
Lossless compression37.
Lossy compression38.
Lempel-Ziv-Welch (LZW) Compression39.
Lempel-Ziv-Welch (LZW) decompression40.
Bit plane coding41.
Differential Pulse Code Modulation (DPCM)42.
Image representation43.
Transform Coding44.
Wavelet Image Coding45.
JPEG Compression46.
MPEG Compression47.
Basics of Vector quantization48.
Image Segmentation49.
Edge Detection50.
Image thresholding51.
Region based segmentation52.
Boundary Representation Models53.
Data structure of boundary representation models54.
Vertex-based boundary model55.
Face-based boundary models56.
Graph representation57.
Validity of boundary models58.
Faceted modelers for some B-rep systems59.
Two-and-half dimensional drawing60.
Advantage and disadvantage of boundary representation61.
Polygonal approximation62.
Algorithm for closed contours63.
Solution for closed contours64.
Heuristic algorithms65.
Multiple-object polygonal approximation66.
Optimal algorithms for min-# problem67.
Iterative reduced search68.
Boundary Descriptors69.
Radial Distance Measures70.
Linear Discriminant Analysis71.
Reduced search algorithm72.
The Hough transform73.
Edge detection techniques74.
Laplacian of Gaussian75.
Canny - Edge Detection Algorithm76.
Fundamentals of color77.
The RGB Color Model78.
Additive vs.
Subtractive Color Models79.
Interactive Specification of Color80.
Colour Image Processing81.
CIE primaries82.
The HSI Model83.
The YIQ Model84.
Transferring Color to Greyscale Images85.
Basics of Full-Colour Image Processing86.
Colour Slicing87.
Tone and Colour Corrections88.
Intensity slicing89.
Intensity to color transformation90.
Morphological Image Processing91.
Dilating an Image92.
Structuring Elements93.
Structuring Element DecompositionAll topics are not listed because of character limitations.
Each topic is complete with diagrams, equations and other forms of graphical representations for better learning and quick understanding.This app will useful for quick reference.
The revision of all concepts can be finished within Several hour using this app.Digital Image Processing is part of engineering education courses and technology degree programs of various universities.