Digital Image Processing for Android

By Two Minds Technology
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Key Details of Digital Image Processing

Get a tutorial on digital image processing.
Last updated on May 11, 2017
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Developer's Description

By Two Minds Technology

Get a tutorial on digital image processing.

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 model2. Compression fundamentals3. Lossless data compression4. Image restoration5. Linear position invariant degradation models6. Elements of visual perception 7. Color perception8. Image sampling and quantization9. Basic relationship between pixels 10. Basic geometric transformations11. Introduction to Fourier transform and DFT 12. Fast Fourier transform13. Properties of two dimensional Fourier transform14. Separable image transforms 15. Walsh, Hadamard, discrete cosine, Haar and Slant transforms16. Spatial domain methods17. Grey scale manipulation and histogram equalization18. Image subtraction and Image averaging 19. Spatial filtering on images20. Smoothing filters on images21. Sharpening filters on images22. Derivative filters on images23. Laplacian filters on images24. Frequency domain 25. Homomorphic filtering26. Image restoration process27. Model of image degradation28. Noise models29. Characteristics of the noise models30. Order-Statistics Filters31. Adaptive filters 32. 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 Coding 44. Wavelet Image Coding45. JPEG Compression46. MPEG Compression 47. Basics of Vector quantization48. Image Segmentation49. Edge Detection50. Image thresholding51. Region based segmentation 52. Boundary Representation Models53. Data structure of boundary representation models54. Vertex-based boundary model