5 Data Compression

Multimedia Computing · Unit 5 · 8 hrs

Data Compression

Exam-focused notes for Data Compression (Multimedia Computing, CSC330): what the TU syllabus asks and how it has actually been tested, with 4 solved past questions from this unit.

What this unit covers

  • Storage Space
  • Coding Requirements
  • Source, Entropy and Hybrid Coding
  • Lossy Sequential DCT-based Mode
  • Expanded Lossy DCT-based Mode
  • JPEG and MPEG

JPEG and MPEG

20815 marks

Differentiate between JPEG and MPEG. [5]

JPEG (Joint Photographic Experts Group) and MPEG (Moving Picture Experts Group) are both hybrid coding standards used in multimedia systems, combining entropy and source coding techniques. However, they differ significantly in their purpose, process, and ap...

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208010 marks

Explain the JPEG compression process steps in detail with example.[10]

JPEG (Joint Photographic Experts Group) is a widely used lossy compression standard for still images. It is best suited for photographic/web images where a trade-off between image quality and file size is acceptable. The amount of compression can be control...

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Source, Entropy and Hybrid Coding

20815 marks

Compare between lossless compression with lossy compression. [5]

Lossless Compression is a data compression technique in which the original data can be perfectly reconstructed from the compressed data without any loss of information. Lossy Compression is a data compression technique in which some amount of data is perman...

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208010 marks

What do you mean by Huffman coding? Explain the Huffman coding process with example.[10]

Huffman coding is a lossless data compression technique and a type of entropy coding that assigns variable-length binary codes to input characters based on their frequency of occurrence. Characters that occur more frequently are assigned shorter codes, whil...

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