Abstract
In this paper, we shall propose a lossless image compression method based on Base Switching Transformation (BST). In order to lower down the difference between the minimum and maximum pixel values of each block used in BST and reduce the number of bits that BST needs, the first step we take is to modify each pixel value of the original image by subtracting the value of the neighboring pixel from it. The reason is that the pixel values of two neighboring pixels are usually very close to each other. Besides, we provide a hierarchical concept for the BST method. It can effectively improve the compression ratio. With our experimental results, we have made a comparison among our method, the Joint Photographic Experts Group (JPEG) compression method, and Joint Bi-level Image Experts Group (JBIG) compression method, in which our method proves to be superior.
| Original language | English |
|---|---|
| Pages | 1734-1738 |
| Number of pages | 5 |
| Publication status | Published - 2003 Dec 1 |
| Event | 2003 International Conference on Communication Technology, ICCT 2003 - Beijing, China Duration: 2003 Apr 9 → 2003 Apr 11 |
Other
| Other | 2003 International Conference on Communication Technology, ICCT 2003 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 03-04-09 → 03-04-11 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
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A New Approach to Lossless Image Compression. / Chang, Chin Chen; Hsieh, Chih Ping; Hsiao, Ju Yuan.
2003. 1734-1738 Paper presented at 2003 International Conference on Communication Technology, ICCT 2003, Beijing, China.Research output: Contribution to conference › Paper
TY - CONF
T1 - A New Approach to Lossless Image Compression
AU - Chang, Chin Chen
AU - Hsieh, Chih Ping
AU - Hsiao, Ju Yuan
PY - 2003/12/1
Y1 - 2003/12/1
N2 - In this paper, we shall propose a lossless image compression method based on Base Switching Transformation (BST). In order to lower down the difference between the minimum and maximum pixel values of each block used in BST and reduce the number of bits that BST needs, the first step we take is to modify each pixel value of the original image by subtracting the value of the neighboring pixel from it. The reason is that the pixel values of two neighboring pixels are usually very close to each other. Besides, we provide a hierarchical concept for the BST method. It can effectively improve the compression ratio. With our experimental results, we have made a comparison among our method, the Joint Photographic Experts Group (JPEG) compression method, and Joint Bi-level Image Experts Group (JBIG) compression method, in which our method proves to be superior.
AB - In this paper, we shall propose a lossless image compression method based on Base Switching Transformation (BST). In order to lower down the difference between the minimum and maximum pixel values of each block used in BST and reduce the number of bits that BST needs, the first step we take is to modify each pixel value of the original image by subtracting the value of the neighboring pixel from it. The reason is that the pixel values of two neighboring pixels are usually very close to each other. Besides, we provide a hierarchical concept for the BST method. It can effectively improve the compression ratio. With our experimental results, we have made a comparison among our method, the Joint Photographic Experts Group (JPEG) compression method, and Joint Bi-level Image Experts Group (JBIG) compression method, in which our method proves to be superior.
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UR - http://www.scopus.com/inward/citedby.url?scp=1642619441&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:1642619441
SP - 1734
EP - 1738
ER -