Image Processing Fundamentals

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Electrical Metrology: Noise Reduction Techniques

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

CMOS Cameras: Passive Pixel Sensor Technology

Covers the principles and challenges of CMOS camera technology, focusing on passive pixel sensors and their impact on image quality.

Optical Image Sensors: Introduction and Architecture

Explores the history, architecture, and specifications of optical image sensors, including noise suppression techniques and measurement methods.

RIN, Shot Noise, Circuit Noise - Examples

Explores laser operation basics, shot noise, and photodetectors' noise characteristics, emphasizing the importance of signal-to-noise ratio in signal detection.

Transmission Electron Microscopy Basics

Introduces the basics of Transmission Electron Microscopy, covering TEM user interface, camera settings, vacuum overview, and image analysis.

Image Processing: Neighborhood Averaging & Gaussian Smoothing

Explores neighborhood averaging, Gaussian smoothing, median filtering, contrast enhancement, and edge detection in image processing.

CCD Cameras: Dark Current and Noise Analysis

Covers noise sources in CCD cameras, focusing on dark current and its impact on performance.

Noise in Electronics: Fundamentals and Applications

Explores noise in electronics, covering average power, signal-to-noise ratio, deterministic and random signals, and noise amplification.

Electrical Metrology

Explores electrical metrology, covering random variables, noise sources, and their impact on electronic devices.

Noise Reduction Techniques

Explores noise reduction techniques in electrical systems, covering concepts like Fourier transform, impedance matching, and dithering.