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Huffman Coding

Huffman coding in Multimedia in Hindi |  Huffman Coding in Multimedia: 


  • Huffman coding is a famous data compression technique, which was developed in 1952 by David A. Huffman. 
  • This technique is used to compress data so that it can be stored in less space and bandwidth can be saved during data transfer. 
  • The main objective of this technique is to encode data in such a way that shorter codes are used for high-frequency symbols and longer codes for low-frequency symbols.
  • Huffman coding is an effective and reliable technique, which is used on a large scale in the compression of multimedia data.
  • Its efficiency and simplicity make it an ideal choice for data storage and transmission in the modern digital age.
Huffman coding in Hindi

Huffman coding principle in Hindi | Principle of Huffman Coding:

  • Frequency Basis: The frequency of each symbol present in the data is counted.
  • Tree Structure: Low-frequency symbols are combined with high-frequency symbols and a binary tree is created.
  • Code Generation: A unique binary code is generated for each symbol using the binary tree.
Use of Huffman coding in Hindi | Use of Huffman Coding in Multimedia:

Multimedia data, such as images, videos, and audio, usually contains a very large amount of data, which can be challenging to store and transfer. Huffman coding is used to effectively compress this data.

1. Use in Image Compression: Huffman coding is used in image file formats like JPEG.

  • When an image is compressed, the frequency of each pixel is analyzed.
  • Huffman coding converts high-frequency pixel values into shorter codes and low-frequency pixel values into longer codes.
  • This reduces the size of the image to a great extent.
2. Use in Audio Compression: Huffman coding is also used in audio formats like MP3.

  • The samples of audio data are divided into small pieces.
  • These pieces are compressed using Huffman coding to save storage space.
3. Use in Video Compression: Huffman coding is used in video formats like MPEG and H.264.

  • Video frames are coded by analyzing the frequency of their pixel values.
  • This reduces the size of the video, which makes it easy to transfer and stream quickly.
Advantages of Huffman coding in Hindi | Advantages of Huffman Coding:

  • High Efficiency: It is very effective for compression and uses minimum bytes.
  • Simple Algorithm: Its process is straightforward and easy to understand.
  • Lossless Compression: There is no loss of data quality in Huffman coding.
Disadvantages of Huffman coding in Hindi | Disadvantages of Huffman Coding: 

  • Not suitable for dynamic data: If the frequency of data changes frequently, Huffman coding is not that effective.
  • Time for large data sets: Code generation for large data sets can take more time.

In this Chapter

Huffman Coding
What is Data Compression and its types
Multimedia Elements
What is Hypertext & Hypermedia?
What is OCR?
What is a Touch Screen?
Data Compression
Multimedia Digital Audio Coding