Digital Image Processing play online

Complete Free handbook of Digital Image Processing with diagrams and graphs. App covers notes on Digital Image Processing. The best app in Engineering Education also brings the blog where you can contribute your work and get the research, industry, university News on the subject.

Digital Image Processing application serves to both engineering students and professionals.

It provides quick revision and reference to the topics like a detailed flash card. Each topic is complete with diagrams, equations and other forms of graphical representations for easy understanding.

It covers more than 120 topics of Digital image processing. The topics are divided in 7 units.
Some of topics Covered in this application are:

1.\tGlobal properties using B-rep model
2.\tCompression fundamentals
3.\tLossless data compression
4.\tImage restoration
5.\tLinear position invariant degradation models
6.\tElements of visual perception
7.\tColor perception
8.\tImage sampling and quantization
9.\tBasic relationship between pixels
10.\tBasic geometric transformations
11.\tIntroduction to Fourier transform and DFT
12.\tFast Fourier transform
13.\tProperties of two dimensional Fourier transform
14.\tSeparable image transforms
15.\tWalsh, Hadamard, discrete cosine, Haar and Slant transforms
16.\tSpatial domain methods
17.\tGrey scale manipulation and histogram equalization
18.\tImage subtraction and Image averaging
19.\tSpatial filtering on images
20.\tSmoothing filters on images
21.\tSharpening filters on images
22.\tDerivative filters on images
23.\tLaplacian filters on images
24.\tFrequency domain
25.\tHomomorphic filtering
26.\tImage restoration process
27.\tModel of image degradation
28.\tNoise models
29.\tCharacteristics of the noise models
30.\tOrder-Statistics Filters
31.\tAdaptive filters - Digital Image Processing
32.\tLeast-Mean-Square (LMS) Algorithm
33.\tBlind Image Restoration and Recognition
34.\tPseudo-Inverse Filtering
35.\tSingular value decomposition
36.\tLossless compression
37.\tLossy compression
38.\tLempel-Ziv-Welch (LZW) Compression
39.\tLempel-Ziv-Welch (LZW) decompression
40.\tBit plane coding
41.\tDifferential Pulse Code Modulation (DPCM)
42.\tImage representation
43.\tTransform Coding
44.\tWavelet Image Coding
45.\tJPEG Compression
46.\tMPEG Compression
47.\tBasics of Vector quantization
48.\tImage Segmentation
49.\tEdge Detection
50.\tImage thresholding
51.\tRegion based segmentation
52.\tBoundary Representation Models
53.\tData structure of boundary representation models
54.\tVertex-based boundary model
55.\tFace-based boundary models
56.\tGraph representation
57.\tValidity of boundary models
58.\tFaceted modelers for some B-rep systems
59.\tTwo-and-half dimensional drawing
60.\tAdvantage and disadvantage of boundary representation
61.\tPolygonal approximation
62.\tAlgorithm for closed contours
63.\tSolution for closed contours
64.\tHeuristic algorithms
65.\tMultiple-object polygonal approximation
66.\tOptimal algorithms for min-# problem
67.\tIterative reduced search
68.\tBoundary Descriptors
69.\tRadial Distance Measures
70.\tLinear Discriminant Analysis
71.\tReduced search algorithm
72.\tThe Hough transform
73.\tEdge detection techniques
74.\tLaplacian of Gaussian
75.\tCanny - Edge Detection Algorithm
76.\tFundamentals of color
77.\tThe RGB Color Model
78.\tAdditive vs. Subtractive Color Models
79.\tInteractive Specification of Color
80.\tColour Image Processing
81.\tCIE primaries
82.\tThe HSI Model
83.\tThe YIQ Model
84.\tTransferring Color to Greyscale Images
85.\tBasics of Full-Colour Image Processing
86.\tColour Slicing
87.\tTone and Colour Corrections
88.\tIntensity slicing
89.\tIntensity to color transformation
90.\tMorphological Image Processing
91.\tDilating an Image
92.\tStructuring Elements
93.\tStructuring Element Decomposition

All topics are not listed because of character limitations set by the Play Store.