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Lecture
Image Processing I
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Related lectures (30)
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Image Processing II: DFT, DCT, and Wavelet Transforms
Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.
Wavelet Design: Fourier Transform
Covers the design of wavelets using Fourier transform and procedures for selecting wavelet functions.
Image Processing II: Optimal Transforms and Applications
Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.
JPEG 2000: Image Compression
Explores image compression principles, focusing on JPEG 2000, covering transform-based coding, quantization, entropy coding, region of interest, error resilience, and software implementations.
Fourier Transform: Concepts and Applications
Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Fourier Filtering
Explores Fourier filtering principles, applications in image processing, and efficient FFT implementation.
Fourier Filters: Techniques for Image Processing
Covers Fourier filtering techniques using the 4F system for image processing and enhancement.
Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing I: Ordered Dithering and Fourier Transform
Explores ordered dithering and Fourier transform in image processing.
Fourier Transform Applications: Image Processing Basics
Covers image processing basics, Fourier transformation, convolution, cross-correlation, and 3D reconstruction using the Radon projection theorem.
