Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Digital Signal Processing (4th Edition)
Digital Signal Processing (4th Edition)
Compression of the images of ancient Arab manuscript documents based on segmentation
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Conjugate symmetric sequency-ordered complex Hadamard transform
IEEE Transactions on Signal Processing
Fast algorithm for computing discrete cosine transform
IEEE Transactions on Signal Processing
Hadamard-based image decomposition and compression
IEEE Transactions on Information Technology in Biomedicine
Residual coding in document image compression
IEEE Transactions on Image Processing
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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.