liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Algorithm study and Matlab model for  CCITT Group4 TIFF Image Compression
Linköping University, Department of Electrical Engineering, Electronics System.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Smart cameras are part of many automated system for detection and correction in various systems. They can be used for detecting unwanted particles inside a fuel tank or may be placed on an airplane engine to provide protection from any approaching obstacle. They can also be used to detect a finger print or other biometric identification on a document or in some video domain. These systems usually have a very sensitive fast processing nature, to stop some ongoing information or extract some information. Image compression algorithms are used  for  the  captured  images to enable fast communication between different nodes i.e. the cameras and the processing units. Nowadays these algorithms are very popular with sensor based smart camera. The challenges associated with these networks are fast communication of these images between different nodes or to a centralized system. Thus a study is provided for an algorithm used for this purpose. In-depth study and Matlab modeling of CCITT group4 TIFF is the target of this thesis. This work provides detail study about the CCITT TIFF algorithms and provides a Matlab model for the compression algorithm for monochrome images.

The compressed images will be of a compression ratio about 1:15 which will help in fast communication and computation of these images.  A developed set of 8 test images with different characteristics in size and dimension is compressed by the Matlab model implementing the CCITT group4 TIFF. These compressed images are then compared to same set of images compressed by other algorithms to compare the compression ratio.


Place, publisher, year, edition, pages
2011. , 70 p.
Keyword [en]
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-65709ISRN: LiTH-ISY -EX--10/4451--SEOAI: diva2:398511
2010-12-20, Nolstallet, Linkoping University, Linkoping, 10:00 (English)
Available from: 2011-02-21 Created: 2011-02-18 Last updated: 2011-02-21Bibliographically approved

Open Access in DiVA

fulltext(655 kB)1885 downloads
File information
File name FULLTEXT02.pdfFile size 655 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Electronics System
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 1885 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 401 hits
ReferencesLink to record
Permanent link

Direct link