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Scanned Compound Document Encoding Using Multiscale Recurrent Patterns
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| In this paper, we propose a new encoder for scanned compound documents, based upon a recently introduced coding paradigm called multidimensional multiscale parser (MMP). MMP uses approximate pattern matching, with adaptive multiscale dictionaries that contain concatenations of scaled versions of previously encoded image blocks. These features give MMP the ability to adjust to the input image's characteristics, resulting in high coding efficiencies for a wide range of image types. This versatility makes MMP a good candidate for compound digital document encoding. The proposed algorithm first classifies the image blocks as smooth (texture) and nonsmooth (text and graphics). Smooth and nonsmooth blocks are then compressed using different MMP-based encoders, adapted for encoding either type of blocks. The adaptive use of these two types of encoders resulted in performance gains over the original MMP algorithm, further increasing the performance advantage over the current state-of-the-art image encoders for scanned compound images, without compromising the performance for other image types. | 2.91 MB | Adobe PDF |
Orientador(es)
Resumo(s)
In this paper, we propose a new encoder for scanned compound documents, based upon a recently introduced coding paradigm called multidimensional multiscale parser (MMP). MMP uses approximate pattern matching, with adaptive multiscale dictionaries that contain concatenations of scaled versions of previously encoded image blocks. These features give MMP the ability to adjust to the input image's characteristics, resulting in high coding efficiencies for a wide range of image types. This versatility makes MMP a good candidate for compound digital document encoding. The proposed algorithm first classifies the image blocks as smooth (texture) and nonsmooth (text and graphics). Smooth and nonsmooth blocks are then compressed using different MMP-based encoders, adapted for encoding either type of blocks. The adaptive use of these two types of encoders resulted in performance gains over the original MMP algorithm, further increasing the performance advantage over the current state-of-the-art image encoders for scanned compound images, without compromising the performance for other image types.
Descrição
Palavras-chave
Adaptive pattern matching compound images dictionary based coding image coding scanned document compression vector quantization
Contexto Educativo
Citação
N. C. Francisco, N. M. M. Rodrigues, E. A. B. da Silva, M. B. de Carvalho, S. M. M. de Faria and V. M. M. Silva, "Scanned Compound Document Encoding Using Multiscale Recurrent Patterns," in IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2712-2724, Oct. 2010, doi: https://doi.org/10.1109/TIP.2010.2049181.
Editora
IEEE Canada