TAILIEUCHUNG - Digital Image Processing: Image Enhancement - Duong Anh Duc

Digital Image Processing: Image Enhancement - Duong Anh Duc presents about Image Enhancement; Point Operations; Image Negative; Contrast Stretching; Compression of Dynamic Range; Image Averaging for noise reduction; Some Averaging Filters; Some Typical Histograms. | 5/14/2020 4:35:03 AM Duong Anh Duc - Digital Image Processing Digital Image Processing Image Enhancement 5/14/2020 4:35:03 AM Duong Anh Duc - Digital Image Processing Image Enhancement To process an image so that output is “visually better” than the input, for a specific application. Enhancement is therefore, very much dependent on the particular problem/image at hand. Enhancement can be done in either: Spatial domain: operate on the original image g(m,n) = T[f(m,n)] Frequency domain: operate on the DFT of the original image G(u,v) = T[F(u,v)], where F(u,v) = F[f(m,n)], and G(u,v) = F [g(m,n)], 5/14/2020 4:35:03 AM Duong Anh Duc - Digital Image Processing Image Enhancement Techniques Point Operations Mask Operations Transform Operations Coloring Operations Image Negative Contrast Stretching Compression of dynamic range Graylevel slicing Image Subtraction Image Averaging Histogram operations Smoothing operations Median Filtering Sharpening operations Derivative operations .

• Đồ họa - Thiết kế - Flash
• Digital Image Processing
• Image Enhancement
• Image Negative
• Contrast Stretching
• Compression of Dynamic Range
• Image Averaging for noise reduction
• Image segmentation
• Lecture Digital image processing
• Digital images
• Digital computers
• Image processing
• Local processing
• Global processing
• Morphological image processing
• Autonomous machine applications
• Region growing
• Image digitization
• Theory of sampling
• Image transformation
• Image restoration
• Image transform
• Image compression
• Dark image