Concept

Multi-exposure HDR capture

Related lectures (31)

High Dynamic Range Imaging: Algorithms and Techniques

Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.

Explores stress-based frequency tuning in micro/nanomechanical devices, covering black body radiation, optical nonlinearity, NETD, and dynamic range.

Analog Circuit Advantages: Wien Bridge Oscillator

Showcases the advantages of analog electronics through the Wien bridge oscillator circuit.

Image Acquisition

Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.

Electroacoustics: Notions of Acoustics

Covers fundamental concepts of electroacoustics, including frequency response, sensitivity, efficiency, power, and directivity.

Optical Image Sensors: Introduction and Architecture

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

Quantization and Coding: Uniform Quantization

Explains uniform quantization in signal processing and how quantization noise increases with each additional bit.

Optical Image Sensors: Abbe's Limit and SPAD Metrology

Covers optical image sensors, Abbe's Limit, sub-resolution pixels, microlenses, vignetting, and single-photon detectors, including SPAD metrology aspects.

X-ray Detectors: Properties and Signal-to-Noise Ratio

Discusses X-ray detectors' properties, sensitivity, and signal-to-noise ratio quantification, as well as systematic errors like flat field corrections.

Neural Amplifiers: Circuit Block Diagram and Design Requirements

Discusses the circuit block diagram and design requirements for neural amplifiers.

High Dynamic Range: CMOS Camera Technologies

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

Measurement Principles: Calibration and Sensitivity Examples

Discusses measurement principles through examples of calibration, sensitivity, and optical measurement techniques.

CMOS Digital Pixel Sensors: Technical Aspects and Applications

Covers the technical aspects and applications of CMOS digital pixel sensors, focusing on high dynamic range imaging and camera miniaturization.

Optical Image Sensors: Noise Suppression and Measurement

Explores noise suppression, sensor measurement, dynamic range, microlenses, and single-photon detectors in optical image sensors.

Measurement Systems: Principles and Components

Covers the principles and components of measurement systems, including accuracy, uncertainty, and error classification.

Frequency Analysis: 2D DFT

Explores the 2D Discrete Fourier Transform properties and its application in image analysis, emphasizing phase alignment for edge detection.

Detectors: Cameras and Performance

Explores imaging cameras' characteristics, spatial resolution, noise sources, and dynamic range for optimal performance in microscopy applications.

Proteomics in Neuroscience: Techniques and Applications

Covers proteomics techniques and their applications in neuroscience, focusing on mass spectrometry and the challenges of studying proteins in cellular functions.

Beamlines: Detectors

Explores the historical development and operation of various detector types and discusses the unique features of hybrid photon-counting detectors.

Notation and key concepts

Covers the notation and key concepts related to digital images and 2D signal representations.