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Related lectures (39)
Image Acquisition
Covers the basics of image acquisition, including optical devices, resolution factors, lens distortions, and sensor technologies.
Image Processing: Basics and Techniques
Introduces image processing basics, covering vector vs matrix images, RGB color system, grayscale, and image manipulation libraries.
Notation and key concepts
Covers the notation and key concepts related to digital images and 2D signal representations.
History and Theory of Photography: Amateur
Explores the democratization of photography through the rise of amateur photography and the impact of the Kodak camera on mass culture.
JPEG XS & JPEG XL: Next-Gen Image Compression
Explores the cutting-edge JPEG XS and JPEG XL image compression standards, emphasizing their efficiency and versatility in various applications.
Image Processing Basics
Covers the basics of image processing and implementing seam carving algorithms for image resizing.
Digital Images and Visual Perception
MOOC: Image Processing and Analysis for Life Scientists
Covers the definition of digital images, image formation, classification by bit depth, and image analysis.
Action Bar Plugin: Useful Shortcuts for Fiji
Delves into the Action Bar plugin, demonstrating how to create custom toolbars and mini applications in Fiji.
Image Processing: Practical
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Covers practical image processing using Fiji software, emphasizing data quality importance.
Memory Management & Crash Programs
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Covers memory management for engineers, focusing on crash programs related to memory access errors.
Image Processing in Python: Manipulation and Convolution Techniques
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Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.
Image Processing Fundamentals
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Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.
Image Processing: Enhancement and Analysis
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Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.
Passive Remote Sensing: Historical and Technical Insights
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Provides an overview of passive remote sensing, covering historical imaging techniques and the transition to digital methods.
Image Denoising and Reconstruction
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Covers denoising and reconstructing images using total variation minimization and discusses the visual effects of different regularization strengths.
Digital Image Correlation: Practical
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Focuses on the practical application of Digital Image Correlation for civil engineers, covering measuring displacement fields and computing strain fields.
Image Processing Fundamentals
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Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.
Reconstructing Color Images: Techniques and Applications
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Covers techniques for reconstructing color images using optical detection and artificial intelligence to enhance image quality and reduce noise.
Quantitative Imaging for Civil Engineers
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Introduces quantitative imaging concepts for civil engineers, covering resolution, optics, image quality, and 3D measurements.
Image Processing I: Fundamentals
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Covers the fundamentals of image processing, practical work using Jupyter Notebooks, and future trends in the field.
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