Digital Image Processing
1.[영상처리] 1. Introduction
Image / Digital Image / Invisible Light Imaging / Digital Image Processing
2.[영상처리] 2. Digital Image Fundamentals
Human Vision / Lights / Image Acquisition / Sampling and Quantization / Relationship between Pixels / Mathmatical Tools
3.[영상처리] 3. Intensity Transformations and Spatial Filtering
Intensity Transformation Functions / Histogram Processing / Spatial Filtering Fundamentals / Smothing Spatial Filters / Sharpening Spatial Filters
4.[영상처리] 4. Frequency Domain Processing
Fourier Transform / Sampling (Aliasing, Nyquist rate) / DFT / 2D DFT / Filtering in Frequency Domain (DC, LowPass, HighPass, Homomorphic, Notch)
5.[영상처리] 5. Image Restoration
Degradation (Noise Model, PSF, Estimating degradation) / Restoration (Mean, OrderStatic, Periidic, Notch, Inverse, Wiener Filtering)
6.[영상처리] 5.5 Bilateral Filtering
Bilateral Filtering
7.[영상처리] 6. Color Image Processing
Color / Color Models / Pseudo Color / Color Transfrom / Smoothing&Sharpening / Noise Model
8.[영상처리] 7. Morphological Image Processing
Erosion, Dilation / Opening, Closing / HMT, Boundary, Region Fill, Connected Cpnt, Thinning, Thickening, Sleletons / Morphological / in Gray Scale
9.[영상처리] 10. Image Compression
Image Compression / Entropy / Huffman, Aruthmetic / JEPG Compression