Type of Document Master's Thesis Author Abedi, Safdar Ali Syed Author's Email Address sabedi2@student.gsu.edu URN etd-07202005-213439 Title Exploring Discrete Cosine Transform for Multi-resolution Analysis Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Dr. Saeid Belkasim Committee Chair Dr. A. P. Preethy Committee Member Dr. Rajshekhar Sunderraman Committee Member Keywords
- Discrete cosine transform
- Modified discrete cosine transform
- Noise reduction
- Multi-resolution analysis
Date of Defense 2005-07-18 Availability unrestricted Abstract Multi-resolution analysis has been a very popular technique in the recent years. Wavelets have been used extensively to perform multi resolution image expansion and analysis. DCT, however, has been used to compress image but not for multi resolution image analysis. This thesis is an attempt to explore the possibilities of using DCT for multi-resolution image analysis. Naive implementation of block DCT for multi-resolution expansion has many difficulties that lead to signal distortion. One of the main causes of distortion is the blocking artifacts that appear when reconstructing images transformed by DCT. The new algorithm is based on line DCT which eliminates the need for block processing. The line DCT is one dimensional array based on cascading the image rows and columns in one transform operation. Several images have been used to test the algorithm at various resolution levels. The reconstruction mean square error rate is used as an indication to the success of the method. The proposed algorithm has also been tested against the traditional block DCT.Files
Filename Size Approximate Download Time (Hours:Minutes:Seconds)
28.8 Modem 56K Modem ISDN (64 Kb) ISDN (128 Kb) Higher-speed Access abedi_safdar_s_200508_ms.pdf 4.37 Mb 00:20:14 00:10:24 00:09:06 00:04:33 00:00:23