Pixel

Related lectures (31)

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Covers sampling, transformations, acquisition models, aliasing problems, and examples in image processing.

Introduces image processing techniques in Python, focusing on manipulation and convolution operations using NumPy and Pillow.

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

Covers scientific image processing fundamentals, software practices, and ethical considerations in image processing.

Explores phase contrast in transmission electron microscopy, focusing on the complexities of electron wave interactions.

Covers the principles and applications of electron bombarded charge-coupled devices for efficient single photon detection.

Covers Singular Value Decomposition, focusing on its application in image compression and data representation.

Provides an overview of CMOS camera technology, focusing on detection, electronics, and the advantages of four-transistor active pixel sensors.

Delves into the evolution and technical aspects of LED displays with millions of pixels.

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