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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aye Aung Boon Poh Ng Shwe, C.T. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore (Boon Poh Ng; Shwe, C.T.) || School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, Australia (Aye Aung) |
| Abstract | In this paper, we propose a new real transform (rCS-SCHT) derived from the conjugate symmetric sequency-ordered complex Hadamard transform (CS-SCHT) for document image compression. Like the CS-SCHT, the proposed transform is also an orthogonal transform. The transform computation is very simple and it requires only addition/subtractions with the use of a fast algorithm. This transform possesses good energy compaction property which makes it suitable to be employed in document image compression. Simulations are conducted in order to demonstrate the energy compaction capability of the transform as compared to the discrete cosine transform (DCT) and the Walsh Hadamard transform (WHT), particularly for scanned document images. Further discussions on the bit rate vs peak signal-to-noise (PSNR) performances of the proposed transform, the DCT and the WHT are presented using the default JPEG setting for simulations. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1004017 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424446568 |
| DOI | 10.1109/ICICS.2009.5397739 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Discrete transforms Discrete cosine transforms Compaction Computational complexity Computational modeling Software libraries Transform coding Discrete Fourier transforms Computer science |
| Content Type | Text |
| Resource Type | Article |
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