IMAGE PROCESSIMG LECTURE NOTES 1

IMAGE PROCESSIMG LECTURE NOTES

 

Lecture 01: Introduction to the Course (ppt)

Lecture 02: Digital Image Processing with Matlab (ppt)

Lecture 03: Point Processing of Images (ppt)

Lecture 04: Color Perception (ppt)

Lecture 05: Color Correction (ppt)

Lecture 06: The Fourier Transform (1D & 2-D) (ppt)

Lecture 07: Spatial Filtering -- Image Convolution (ppt)

Lecture 08: Spatial FIltering in the Frequency Domain (ppt)

Lecture 09: Image Sharpening (ppt)

Lecture 10: Pixelization and Quantization (ppt)

Lecture 11: Image Sampling and Aliasing (ppt)

Lecture 12: Image Resampling (ppt)

Lecture 13: Image Rotation (ppt)

Lecture 14: Image Noise Reduction: Uncorrelated Noise (ppt)

Lecture 15: Image Noise Reduction: Correlated Noise (ppt)

Lecture 16: Mathematical Morphology -- Median FIlters (ppt)

Lecture 17: Mathematical Morphology -- Binary Images (ppt)

Lecture 18: Mathematical Morphology -- Grayscale Images (ppt)

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