Data compression techniques for efficient storage
Table Of Contents
1. Introduction
1.1 Background and Significance
1.2 Objectives and Scope
2. Fundamentals of Data Compression
2.1 Information Theory and Entropy
2.2 Compression Ratio and Efficiency
3. Lossless Compression Techniques
3.1 Huffman Coding
3.2 Lempel-Ziv-Welch (LZW) Compression
4. Lossy Compression Techniques
4.1 Transform Coding (e.g., JPEG)
4.2 Quantization and Encoding
5. Compression Performance Evaluation
5.1 Compression Ratio and Speed
5.2 Quality Metrics for Lossy Compression
Thesis Abstract
Data compression is essential for efficient storage and transmission of digital information. This project focuses on exploring and implementing data compression techniques to optimize storage utilization. The project will investigate various compression algorithms, including lossless and lossy methods, and evaluate their effectiveness in reducing data size while preserving information integrity. The goal is to develop a comprehensive understanding of data compression and its practical applications in modern storage systems.
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