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.

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.

配有图表和图形数字图像处理的免费手册。应用包括数字图像处理笔记。在工程教育的最佳应用也带来了博客，您可以促进你的工作，并得到关于这一问题的研究，工业，大学新闻。

数字图像处理应用既用于工程专业的学生和专业人士。

它提供了快速修正和参考像一个详细的闪存卡的主题。每个主题是完整的图表，公式以及其他形式的易于理解的图形表示的。

它涵盖了数字图像处理的120多个主题。该主题在7个单位划分。

一些在此应用程序涉及的主题有：

1.采用B-REP模型全局属性

2.压缩基本面

3.无损数据压缩

4.图像复原

5.线性位置不变的退化模型

6.视觉感知的要素

7.色觉

8.图像采样和量化

9.像素之间关系的基本

10.碱性几何变换

11.介绍傅立叶变换和DFT

12.快速傅立叶变换

13.二维傅里叶变换属性

14.可分离图像变换

15.沃尔什，哈达玛，离散余弦，哈尔和斜变换

16.空间域方法

17.灰度操纵和直方图均衡

18.图像减法和图像平均

19.图像空间滤波

上的图像20，平滑滤波器

上的图像21的锐化滤镜

上的图像22.衍生滤波器

上的图像23拉普拉斯滤波器

24.频域

25.同态滤波

26.图像恢复处理

27.图像劣化的模型

28.噪声模型

29.噪声模型的特点

30.订单统计过滤器

31.自适应滤波器 - 数字图像处理

32.最小均方（LMS）算法

33.盲图像复原与识别

34.伪逆滤波

35.奇异值分解

36.无损压缩

37.有损压缩

38.朗佩尔-谢夫 - 韦尔奇（LZW）压缩

39.朗佩尔-谢夫 - 韦尔奇（LZW）压缩

40位平面编码

41.差分脉冲编码调制（DPCM）

42.图像表示

43.变换编码

44.小波图像编码

45. JPEG压缩

46. MPEG压缩

矢量量化47.基础

48.图像分割

49.边缘检测

50.图像阈值

51.基于区域的分割

52.边界表示模型

边界表示模型的数据53的结构

基于顶点的54边界模型

55.基于面的边界模型

56.格拉夫表示

57.有效性边界模型

58.切割面建模对于某些B-代表系统

59.两个和半尺寸图

60.优势和边界表示的缺点

61.多边形逼近

62.算法的封闭轮廓

63.解决方案封闭轮廓

64.启发式算法

65.多对象的多边形逼近

66. MIN-＃问题的最优算法

67.迭代缩短搜索

68.边界描述

69.径向距离措施

70.线性判别分析

71.减少搜索算法

72. Hough变换

73.边缘检测技术

高斯的拉普拉斯74.

75.坎尼 - 边缘检测算法

颜色的76基础

77. RGB颜色模式

78.添加剂与减色模型

颜色的交互式79.规格

80.彩色图像处理

81. CIE初选

82. HSI模型

83. YIQ模型

84.转移到色灰度图像

全彩色图像处理的基础知识85.

86.彩色切片

87.色调和色彩修正

88.强度切片

89.强度色彩变换

90.形态学图像处理

91.扩张映像

92.结构元素

93.结构元素分解

所有的话题都没有上市，因为Play商店设置字符限制的。