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Digital Image Processing on Windows Pc

Developed By: Engineering Apps

License: Free

Rating: 3,5/5 - 82 votes

Last Updated: April 16, 2024

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 7
Size 8 MB
Release Date March 12, 23
Category Education Apps

App Permissions:
Allows applications to access information about networks. [see more (5)]

What's New:
Check out New Learning Videos! We have Added • Chapter and topics made offline access • New Intuitive Knowledge Test & Score Section • Search Option with... [see more]

Description from Developer:
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 bl... [read more]

App preview ([see all 22 screenshots])

App preview

About this app

On this page you can download Digital Image Processing and install on Windows PC. Digital Image Processing is free Education app, developed by Engineering Apps. Latest version of Digital Image Processing is 7, was released on 2023-03-12 (updated on 2024-04-16). Estimated number of the downloads is more than 10,000. Overall rating of Digital Image Processing is 3,5. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 82 users, 18 users had rated it 5*, 29 users had rated it 1*.

How to install Digital Image Processing on Windows?

Instruction on how to install Digital Image Processing on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Digital Image Processing on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

Step By Step Guide To Install Digital Image Processing using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Digital Image Processing" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Digital Image Processing on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Digital Image Processing" on the home screen of NoxPlayer, just click to open it.

Discussion

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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. Global properties using B-rep model
2. Compression fundamentals
3. Lossless data compression
4. Image restoration
5. Linear position invariant degradation models
6. Elements of visual perception
7. Color perception
8. Image sampling and quantization
9. Basic relationship between pixels
10. Basic geometric transformations
11. Introduction to Fourier transform and DFT
12. Fast Fourier transform
13. Properties of two dimensional Fourier transform
14. Separable image transforms
15. Walsh, Hadamard, discrete cosine, Haar and Slant transforms
16. Spatial domain methods
17. Grey scale manipulation and histogram equalization
18. Image subtraction and Image averaging
19. Spatial filtering on images
20. Smoothing filters on images
21. Sharpening filters on images
22. Derivative filters on images
23. Laplacian filters on images
24. Frequency domain
25. Homomorphic filtering
26. Image restoration process
27. Model of image degradation
28. Noise models
29. Characteristics of the noise models
30. Order-Statistics Filters
31. Adaptive filters - Digital Image Processing
32. Least-Mean-Square (LMS) Algorithm
33. Blind Image Restoration and Recognition
34. Pseudo-Inverse Filtering
35. Singular value decomposition
36. Lossless compression
37. Lossy compression
38. Lempel-Ziv-Welch (LZW) Compression
39. Lempel-Ziv-Welch (LZW) decompression
40. Bit plane coding
41. Differential Pulse Code Modulation (DPCM)
42. Image representation
43. Transform Coding
44. Wavelet Image Coding
45. JPEG Compression
46. MPEG Compression
47. Basics of Vector quantization
48. Image Segmentation
49. Edge Detection
50. Image thresholding
51. Region based segmentation
52. Boundary Representation Models
53. Data structure of boundary representation models
54. Vertex-based boundary model
55. Face-based boundary models
56. Graph representation
57. Validity of boundary models
58. Faceted modelers for some B-rep systems
59. Two-and-half dimensional drawing
60. Advantage and disadvantage of boundary representation
61. Polygonal approximation
62. Algorithm for closed contours
63. Solution for closed contours
64. Heuristic algorithms
65. Multiple-object polygonal approximation
66. Optimal algorithms for min-# problem
67. Iterative reduced search
68. Boundary Descriptors
69. Radial Distance Measures
70. Linear Discriminant Analysis
71. Reduced search algorithm
72. The Hough transform
73. Edge detection techniques
74. Laplacian of Gaussian
75. Canny - Edge Detection Algorithm
76. Fundamentals of color
77. The RGB Color Model
78. Additive vs. Subtractive Color Models
79. Interactive Specification of Color
80. Colour Image Processing
81. CIE primaries
82. The HSI Model
83. The YIQ Model
84. Transferring Color to Greyscale Images
85. Basics of Full-Colour Image Processing
86. Colour Slicing
87. Tone and Colour Corrections
88. Intensity slicing
89. Intensity to color transformation
90. Morphological Image Processing
91. Dilating an Image
92. Structuring Elements
93. Structuring Element Decomposition

All topics are not listed because of character limitations set by the Play Store.
Check out New Learning Videos! We have Added
• Chapter and topics made offline access
• New Intuitive Knowledge Test & Score Section
• Search Option with autoprediction to get straight the your topic
• Fast Response Time of Application
• Provide Storage Access for Offline Mode
Allows applications to access information about networks.
Allows applications to open network sockets.
Allows using PowerManager WakeLocks to keep processor from sleeping or screen from dimming.
Allows an application to write to external storage.
Allows an application to read from external storage.