The need for image data compression for various digital image processing applications has increased rapidly in the last decade. In this paper we will review different data compression techniques, with emphasis on the transform coding methods. Also, we will include a step by step description of an implementation of one technique, based on the Discrete Cosine Transform. The compression ratio achieved using this technique is 8 to 1, with a very good subjective image quality.
Subject
Electrical engineering
Classification
0544: Electrical engineering
Identifier / keyword
Applied sciences
Title
Data compression review and implementation
Author
Ramlaoui, Hussam Ibrahim
Source
MAI 31/01M, Masters Abstracts International
University/institution
California State University, Long Beach
University location
United States -- California
Source type
Dissertation or Thesis
Document type
Dissertation/Thesis
Dissertation/thesis number
1349677
ProQuest document ID
304033789
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/304033789