| Author | Shaukat, S. Muhammad Shamshad |
| Call Number | AIT Thesis no. CS-92-23 |
| Subject(s) | Neural networks (Computer science)
|
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of
Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | The purpose of this study is to configure a neural network as iterated function systems for
achieving high image data compression rate at a very high speed.
This study comprises three parts. The first part of the study is based on iterated function
systems (IFSs) and the usefulness of Collage theorem in finding the IFS codes. The second part
shows how random/orbit iteration algorithms can be used to decode or generate the figure back
from its IFS encoding. Since both encoding and decoding are computational intensive, so the real
application of the method is dependent on fast parallel methods of doing it. In the last section,
neural networks are explored as fast, concurrent and distributed mechanism to behave like IFSs.
As a result, a high compression ratio of 10,000: 1 can be achievable at a speed suitable for real
time simulation of animated sequence of pictures. |
| 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) | Sadananda, Ramakoti ;Huynh, Ngoc Phien
|
| Examination Committee(s) | Hosomura, Tsukasa |
| Scholarship Donor(s) | Government of Norway (NORAD) ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |