Image Processing II: Backprojection and Reconstruction Techniques

Related lectures (32)

Page 3 of 4

Introduces the basics of image processing, covering point and spatial operators, histogram processing, and transform-domain operations.

Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.

Delves into image processing, emphasizing sampling theory, aliasing, and reconstruction processes.

Explores data compression through signal sparsity, questioning the need for recording vast amounts of data.

Covers advanced topics in watermarking, including resisting scaling and rotations, self-referenced watermarking, and types of attacks.

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Explores the principles and applications of tomography, showcasing examples of direct tomography and advanced imaging techniques.

Covers the Laplace Transform, LTI systems, Fourier Transforms, and properties.

Discusses Fragile Camera Fingerprints, their security, implementation, and testing for digital image forensics.

Explores the cutting-edge JPEG XS and JPEG XL image compression standards, emphasizing their efficiency and versatility in various applications.