JPEG XS & JPEG XL: Next-Gen Image Compression

Related lectures (30)

Page 3 of 3

Explores the Shannon-Fano algorithm for data compression and its efficiency in creating unique binary codes for letters.

Covers the concept of compression and constructing prefix-free codes based on given information.

Covers the wrapping and decoding process of polar codes, exploring the trade-off between quality and efficiency in lossy compression.

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

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

Explores entropy's role in coding strategies and search algorithms, showcasing its impact on information compression and data efficiency.

Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.

Explores challenges in human communication, context importance, compression problems, uncertain functionality, and proof verification.

Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.

Explores the applications and limitations of Principal Component Analysis, including denoising, compression, and regression.