| File type | APK |
|---|---|
| Version | 5.3 |
| Publisher | Two Minds Technology |
| Release date | May 11, 2017 |
| Date added | May 11, 2017 |
| Os requirements | Android |
| Requirements | None |
| Total downloads | 22 |
| Price | Free |
Description
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.
The 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
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
