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- W2031891920 abstract "Prediction based algorithms reported in the literature are not able to integrate lossy and near-lossless/lossless coding and uses only causal pixels (non-symmetrical predictor structure) for prediction. A non-symmetrical predictor structure, however, is not able to efficiently adapt near the intensity varying areas, which results into poor prediction. Hence, we propose a novel two-stage algorithm for lossy, near lossless/lossless compression using a symmetrical predictor structure is proposed. In the first stage, the proposed algorithm encodes and decodes the given image using the JPEG-2000 standard algorithm (lossy coding). This JPEG-2000 decoded image in the first stage, enables us to use the symmetrical predictor (using both causal and non-causal pixels) for prediction in the second stage. A performance evaluation shows that our algorithm is significantly better in terms of compression performance as compared to some of the computationally complex methods." @default.
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- W2031891920 date "2014-06-01" @default.
- W2031891920 modified "2023-09-27" @default.
- W2031891920 title "Symmetrical predictor structure based integrated lossy, near lossless/lossless coding of images" @default.
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- W2031891920 doi "https://doi.org/10.1109/iscas.2014.6865629" @default.
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