| Author | Aekavute Sujaree |
| Call Number | AIT Thesis no. CS-92-25 |
| Subject(s) | mage processing--Digital techniques
|
| Note | A thesis submitted in partial fulfillment of the requirements
for t h e degree of Master of Engineering, school of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | The word " communication" is becoming more and more
importance to our fast growing world nowadays. With the
development of many new communication techniques, large amount
of data can be processed at one time. Therefore, a method of
reducing these information during transmission process is
needed to maximize speed and quality and minimize storage
space. One of the very interesting field goes into the
development of data compression technique which is one of the
essential factors when dealing with the system that handles
large amount of data such as multimedia and networking systems.
In this study a new approach of reducing an image data
using Block Truncation coding in conjunction with Discrete
Cosine Transform coding is proposed and implemented. The
bit-map generated by BTC is compressed using entropy coding.
Adaptive DCT coding using residual feedback error is
implemented to encode the BTC's high- and low-mean subimages.
The results are investigated and presented as a new approach in
image compression technique. The total compression is about
2.7 : 1. |
| Year | 1992 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Hosomura, Tsukasa |
| Examination Committee(s) | Yulu, Qi ;Bohez, Erik L.J.
|
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |