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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.
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。


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