Lecture

Image Processing Fundamentals

Related lectures (31)

Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.

Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.

Image Processing: Enhancement and Analysis

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Image Processing: Smoothing and Filtering

Covers image smoothing, noise reduction, and segmentation techniques using filters and transforms.

Quantitative Imaging for Civil Engineers

Introduces quantitative imaging concepts for civil engineers, covering resolution, optics, image quality, and 3D measurements.

Optical Image Sensors: Technology and Noise Suppression

Explores optical image sensors, their history, architecture, specifications, and noise suppression techniques.

High Dynamic Range: CMOS Camera Technologies

Covers high dynamic range technologies in CCD and CMOS cameras, focusing on noise reduction and saturation techniques.

Reconstructing Color Images: Techniques and Applications

Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.

CMOS Cameras: Advanced Pixel Design Techniques

Covers advanced design techniques for CMOS cameras, focusing on pixel architecture and noise management in active pixel sensors.

Noise in CCD Cameras: Reset and Readout Mechanisms

Covers noise sources in CCD cameras, focusing on reset noise, readout noise, and methods for noise suppression like correlated double sampling.

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.