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Related lectures (27)
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Convolutional Neural Networks: Training Tricks
Explores convolutional neural networks for image classification, focusing on weight challenges, overfitting prevention strategies, and fine-tuning pre-trained models.
Electron Bombarded CCD: Principles and Applications
Covers the principles and applications of electron bombarded charge-coupled devices for efficient single photon detection.
Optical Image Sensors: Introduction and Architecture
Explores the history, architecture, and specifications of optical image sensors, including noise suppression techniques and measurement methods.
Optical Image Sensors: Noise Suppression and Measurement
Explores noise suppression, sensor measurement, dynamic range, microlenses, and single-photon detectors in optical image sensors.
Active Pixel Sensors: Concepts and Applications
Covers the principles and applications of Active Pixel Sensors in CMOS cameras.
High Dynamic Range Imaging: Algorithms and Techniques
Explores High Dynamic Range imaging, explaining how cameras stack multiple exposed pictures to create HDR images.
Plenoptic Cameras: Techniques and Applications
Covers the principles and applications of plenoptic cameras and light field photography, including techniques for numerical refocusing and the evolution of camera technology.
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