Image compression

Related lectures (30)

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Explores data compression, including lossless methods and the necessity of lossy compression for real numbers and signals.

Covers model compression techniques to enhance the efficiency of large language models in production settings.

Explores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.

Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.

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

Explores entropy, compression algorithms, and optimal coding methods for data compression.

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

Introduces data compression, entropy, and the importance of reducing redundancy in data.

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

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