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Data transformation (normalization) is a method used in data preprocessing to scale the range of values in the data within a uniform scale to improve the quality of the data; as a result, the prediction accuracy is improved. However, some scholars have questioned the efficacy of data normalization, arguing that it can destroy the structure in the original (raw) data. To address these arguments, we...
In this paper, a sequential lossless compression of raw data from image sensor with Bayer pattern is proposed. Inspired by model of JPEG-LS, the proposed encoder consists of fuzzy neural network predictor, adaptive correction part based on context and adaptive arithmetic coder. As in JPEG-LS, it is a empirically observed that the global statistics of residuals from the ANN fixed predictor in raw data,...
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