Lossless compression for digital fundus images
Medical images in digital format are usually very large. As more and more medical imaging switched to digital format, transmission and storage of these images becomes a problem because of their large sizes. In this thesis, we developed a lossless compression algorithm and calibrated it specifically...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/2371 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
id |
sg-ntu-dr.10356-2371 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-23712023-03-04T00:29:11Z Lossless compression for digital fundus images Liu, Xinhua. Chutatape, Opas School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Medical images in digital format are usually very large. As more and more medical imaging switched to digital format, transmission and storage of these images becomes a problem because of their large sizes. In this thesis, we developed a lossless compression algorithm and calibrated it specifically to optimize the compression performance for color fundus images. Master of Philosophy 2008-09-17T09:01:18Z 2008-09-17T09:01:18Z 2001 2001 Thesis http://hdl.handle.net/10356/2371 Nanyang Technological University application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
topic |
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
spellingShingle |
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Liu, Xinhua. Lossless compression for digital fundus images |
description |
Medical images in digital format are usually very large. As more and more medical imaging switched to digital format, transmission and storage of these images becomes a problem because of their large sizes. In this thesis, we developed a lossless compression algorithm and calibrated it specifically to optimize the compression performance for color fundus images. |
author2 |
Chutatape, Opas |
author_facet |
Chutatape, Opas Liu, Xinhua. |
format |
Theses and Dissertations |
author |
Liu, Xinhua. |
author_sort |
Liu, Xinhua. |
title |
Lossless compression for digital fundus images |
title_short |
Lossless compression for digital fundus images |
title_full |
Lossless compression for digital fundus images |
title_fullStr |
Lossless compression for digital fundus images |
title_full_unstemmed |
Lossless compression for digital fundus images |
title_sort |
lossless compression for digital fundus images |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2371 |
_version_ |
1759854441203236864 |