Image compression

Related lectures (30)

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

Explores Shannon-Fano coding for efficient data compression and its comparison to Huffman coding.

Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.

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

Explores lossless data compression techniques, emphasizing efficient message representation and encoding strategies.

Explores compression with loss, covering limitations of lossless compression and techniques for compressing images and sound effectively.

Explores eigenfaces, DFT, DCT, and wavelet transforms in image processing.

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

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

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

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