DocumentCode
3272890
Title
A new transform for document image compression
Author
Aung, Aye ; Ng, Boon Poh ; Shwe, Cherry Tin
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
fYear
2009
fDate
8-10 Dec. 2009
Firstpage
1
Lastpage
5
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.
Keywords
Hadamard transforms; Walsh functions; data compression; discrete cosine transforms; document image processing; image coding; Walsh Hadamard transform; conjugate symmetric sequency ordered complex Hadamard transform; discrete cosine transform; document image compression; energy compaction capability; orthogonal transform; peak signal-to-noise performances; Compaction; Computational complexity; Computational modeling; Computer science; Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Image coding; Software libraries; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location
Macau
Print_ISBN
978-1-4244-4656-8
Electronic_ISBN
978-1-4244-4657-5
Type
conf
DOI
10.1109/ICICS.2009.5397739
Filename
5397739
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