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Classified JPEG coding of mixed document images for printing

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2 Author(s)
Ramos, M.G. ; Cornell Univ., Ithaca, NY, USA ; de Queiroz, R.L.

This paper presents a modified JPEG coder that is applied to the compression of mixed documents (containing text, natural images, and graphics) for printing purposes. The modified JPEG coder proposed in this paper takes advantage of the distinct perceptually significant regions in these documents to achieve higher perceptual quality than the standard JPEG coder. The region-adaptivity is performed via classified thresholding being totally compliant with the baseline standard. A computationally efficient classification algorithm is presented, and the improved performance of the classified JPEG coder is verified

Published in:

Image Processing, IEEE Transactions on  (Volume:9 ,  Issue: 4 )