Optimal slope bin classification in gradient adjusted predictor for lossless compression of medical images
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Cites background or methods from "Optimal slope bin classification in..."
...Usually, in this prediction scheme, the slope is classified into a small number of slope bins because slope space is usually large [1]....
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...In these methods, prediction is made using switched predictors and the switching principal is based on a measure of the characteristics of the neighbourhood pixels [1]....
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...Details of the classification scheme can be found in [1]....
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Cites background from "Optimal slope bin classification in..."
...Motivation behind the classification based on the activity level is the observations made in [6] in which it is reported that the that pixels belonging to different level of activity have different level of predictability....
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"Optimal slope bin classification in..." refers background or methods in this paper
...From the prediction context, of a unknown pixel, the nature of pixels flow is estimated in terms of slope as mentioned in [4]....
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...CALIC and JPEG-LS, use switched adaptive predictors such as GAP [4] and MED [6], respectively....
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...The state-of-the-art lossless image compression algorithms, based on predictive coding method, include CALIC [4] and JPEG-LS [6]....
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...If the estimated slope falls in a particular slope quantization bin, defined in [4], then the particular predictor associated with that bin is used to predict the unknown pixel....
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