Sponsor
Portland State University. Department of Electrical Engineering
First Advisor
Fu Li
Term of Graduation
Winter 1997
Date of Publication
1997
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Electrical and Computer Engineering
Department
Electrical Engineering
Language
English
Subjects
Image compression, Image processing -- Digital techniques, Data compression (Telecommunication), Signal processing -- Digital techniques, Algorithms
DOI
10.15760/etd.3522
Physical Description
1 online resource (91 pages)
Abstract
In this thesis, an attempt has been made to develop a fast way to implement a post-processing algorithm for image compression. All the previous tests for this postprocessing algorithm, which we will present, have been only software based and did not consider the time parameter.
For this purpose a new algorithm is used to compute the 2-D DCT transform. This change made the process a lot faster on a Spare 5 workstation. We have then decided to further increase the speed of the post-processing scheme by implementing it on the ADSP21020 chip.
The results show that such a chip can achieve a speed increase and that ifthe code is optimized a faster processing is even reachable.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Persistent Identifier
https://archives.pdx.edu/ds/psu/40094
Recommended Citation
Sinaceur, Nadir, "Efficient Implementation of Image Compression-Postprocessing Algorithm Using a Digital Signal Processor" (1997). Dissertations and Theses. Paper 6376.
https://doi.org/10.15760/etd.3522
Comments
If you are the rightful copyright holder of this dissertation or thesis and wish to have it removed from the Open Access Collection, please submit a request to pdxscholar@pdx.edu and include clear identification of the work, preferably with URL.