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Lecture
Image Filtering: Basics and Techniques
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Related lectures (32)
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Image Processing Techniques
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Digital Filtering Fundamentals
Introduces fundamental notions in digital filtering, covering 2D filtering approaches, linear filters, stability, FIR and IIR filters, frequency domain filtering, and Gaussian filters.
Image Processing: Smoothing and Filtering
Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.
Image Processing I: Filters and Transformations
Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.
Linear Phase Filters: Step Response and Characteristics
Explores linear phase filters, rise time, Gaussian filters, and rational transfer functions.
Image Processing: Enhancement and Analysis
Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
Time Series: Spectral Analysis and Linear Filtering
Explores spectral analysis, aliasing, and linear filtering in time series data.
Image Filtering: Summary
Covers the fundamental principles of image filtering in biomedical analysis.
Active Filters: Second-order and High-order Realizations
Covers the design and implementation of active filters, focusing on second-order and high-order realizations.
Feedback and Stability: Active Filters
Explores feedback, stability, and active filters, covering various amplifier structures, filter fundamentals, and stability analysis.
