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Lossless JPEG
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Related lectures (28)
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Data Compression and Entropy: Basics and Introduction
Introduces data compression, entropy, and the importance of reducing redundancy in data.
Data Compression: Entropy Definition
Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.
Compression: introduction
Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.
Data Compression: Shannon-Fano Algorithm
Explores the Shannon-Fano algorithm for efficient data compression and its applications in lossless and lossy compression techniques.
Data Compression and Shannon's Theorem: Lossy Compression
Explores data compression, including lossless methods and the necessity of lossy compression for real numbers and signals.
Data Compression and Shannon Fano Coding
Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.
Recycling and Sustainable Development: Challenges and Solutions
Examines the role of recycling in sustainable development, addressing its limitations and the importance of a circular economy.
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