DC - Unit - 2 - Huffman Coding

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Huffman coding: The Huffman Coding Algorithm – Minimum variance Huffman codes Adaptive Huffman coding – Update Procedure,Encoding Procedure,Decoding Procedure Golomb Codes Rice codes Tunstall Codes Applications of Huffman Coding – Lossless Image compression, Text compression, Audio Compression Arithmetic coding: Coding a sequence – Generating a Tag, Deciphering the Tag Generating Binary Code – Uniqueness and Efficiency of the Arithmetic code, Algorithm implementation, Integer Implementation Comparison of Huffman and Arithmetic coding Applications

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Distortion criteria – The Human Visual System, Auditory Perception Models – Probability Models, Linear System Models, Physical Models Scalar Quantization: The Quantization Problem Uniform Quantizer Adaptive Quantization – Forward Adaptive , Backward Adaptive Non uniform Quantization – pdf optimized Quantization, Companded Quantization Entropy Coded Quantization – Entropy coding of Lloyd – Max Quantizer Outputs Vector Quantization : Advantages of Vector Quantization over Scalar Quantization The Linde-Buzo-Gray Algorithm Tree structured Vector Quantization Structured Vector Quantization

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