Image Processing Fundamentals

Related lectures (31)

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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.

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

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

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

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

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

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

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

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