VU Signal and Image Processing. Image Enhancement. Torsten Möller + Hrvoje Bogunović + Raphael Sahann
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1 VU Signal and Image Processing Image Enhancement Torsten Möller + Hrvoje Bogunović + Raphael Sahann torsten.moeller@univie.ac.at hrvoje.bogunovic@meduniwien.ac.at raphael.sahann@univie.ac.at vda.cs.univie.ac.at/teaching/sip/17s/ Raphael 1 Sahann
2 Overview Image Enhancement Basic Transformation Functions Histogram Processing Spatial Filtering 2
3 Basic Transformations Gonzalez & Woods - Digital Image Processing (3rd Edition) 3
4 Intensity Transformations Gonzalez & Woods - Digital Image Processing (3rd Edition) 4
5 Negative Transformation Gonzalez & Woods - Digital Image Processing (3rd Edition) 5
6 Log Transformation Gonzalez & Woods - Digital Image Processing (3rd Edition) 6
7 Power-Law (Gamma) Transformations Gonzalez & Woods - Digital Image Processing (3rd Edition) 7
8 Gamma Correction Gonzalez & Woods - Digital Image Processing (3rd Edition) 8
9 Gamma Correction Gonzalez & Woods - Digital Image Processing (3rd Edition) 9
10 Gamma Correction Gonzalez & Woods - Digital Image Processing (3rd Edition) 10
11 Contrast Stretching 11
12 Intensity Level Slicing Gonzalez & Woods - Digital Image Processing (3rd Edition) 12
13 Intensity Level Slicing Gonzalez & Woods - Digital Image Processing (3rd Edition) 13
14 Overview Image Enhancement Basic Transformation Functions Histogram Processing Spatial Filtering 14
15 Histogram Processing Gonzalez & Woods - Digital Image Processing (3rd Edition) 15
16 Histogram Processing Gonzalez & Woods - Digital Image Processing (3rd Edition) 16
17 Probability Density Function Gonzalez & Woods - Digital Image Processing (3rd Edition) 17
18 Histogram Equalization kx s k = T (r k )=(L 1) p r (r j ) j=0 kx (L 1) = MN n j k =0, 1, 2,...,L 1 j=0 18
19 Histogram Equalization kx s k = T (r k )=(L 1) p r (r j ) Example: 3-bit image (L = 8) of size 64 x 64 pixels (MN = 4096) with intensity levels shown in table: j=0 19
20 Histogram Equalization kx s k = T (r k )=(L 1) p r (r j ) Example: 3-bit image (L = 8) of size 64 x 64 pixels (MN = 4096) with intensity levels shown in table: j=0 s0 = s1 = s2 = s3 = s4 = s5 = s6 = s7 =
21 Histogram Equalization s0 = s1 = s2 = s3 = s4 = s5 = s6 = s7 = Gonzalez & Woods - Digital Image Processing (3rd Edition) 21
22 Histogram Equalization Gonzalez & Woods - Digital Image Processing (3rd Edition) 22
23 Histogram Equalization Gonzalez & Woods - Digital Image Processing (3rd Edition) 23
24 Histogram Equalization Gonzalez & Woods - Digital Image Processing (3rd Edition) 24
25 Histogram Specification Gonzalez & Woods - Digital Image Processing (3rd Edition) 25
26 Histogram Specification Gonzalez & Woods - Digital Image Processing (3rd Edition) 26
27 Histogram Specification Gonzalez & Woods - Digital Image Processing (3rd Edition) 27
28 Histogram Specification Gonzalez & Woods - Digital Image Processing (3rd Edition) 28
29 Local Histogram Statistics Gonzalez & Woods - Digital Image Processing (3rd Edition) 29
30 Overview Image Enhancement Basic Transformation Functions Histogram Processing Spatial Filtering 30
31 Linear Spatial Filtering Gonzalez & Woods - Digital Image Processing (3rd Edition) 31
32 Smoothing Filter Gonzalez & Woods - Digital Image Processing (3rd Edition) 32
33 Smoothing Filter Gonzalez & Woods - Digital Image Processing (3rd Edition) 33
34 Smoothing Filter - Application Gonzalez & Woods - Digital Image Processing (3rd Edition) 34
35 Median Filter Gonzalez & Woods - Digital Image Processing (3rd Edition) 35
36 Non-Local Means Denoising Even better results for noise reduction Looks at similar regions of the image to reconstruct current region Publication and Demo: 36
37 Laplacian Image Sharpening (Second Derivative) Gonzalez & Woods - Digital Image Processing (3rd Edition) 37
38 Laplacian Sharpening Gonzalez & Woods - Digital Image Processing (3rd Edition) 38
39 Unsharp Masking and Highboost Filtering Gonzalez & Woods - Digital Image Processing (3rd Edition) 39
40 Gradient Filter Gonzalez & Woods - Digital Image Processing (3rd Edition) 40
41 Combining Enhancement Methods Gonzalez & Woods - Digital Image Processing (3rd Edition) 41
42 Combining Enhancement Methods Gonzalez & Woods - Digital Image Processing (3rd Edition) 42
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