Image Processing Fundamentals

Related lectures (31)

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Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.

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

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

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

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

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

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

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

Explores different types of noise in electrical systems and their impact on electronic devices.

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