Lossless and near-lossless coding of continuous tone still images (JPEG-LS), ISO/IEC JTC 1/SC 29/WG 1 FCD 14495-public draft, 1997 (http://www.jpeg.org/public/jpeglinks. htm).

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Image compression with neural networks - A survey - Jiang (1999)   (1 citation)  (Correct)

....signi cantly increasing the Fig. 15. Predictive pattern. Fig. 16. VQ neural network assisted prediction. modelling cost (intensive computing, overheads etc. This remains an interesting area for further research. Edge detection based prediction under development by the new JPEG LS standard [40] produces a simple yet successful prediction scheme in terms of reducing the predicted error entropy. It takes the three neighbouring pixels, the north, the west and the north west location, into consideration to determine the predictive value depending on whether a vertical edge or a horizontal ....

....value depending on whether a vertical edge or a horizontal edge is detected or not. Detailed discussion of such a scheme, however, is outside the category of this paper since it is not directly relevant to any neural network application. Further details are referred to the JPEG LS documents [40]. With MSE based linear prediction, the main problem is that the predictive value for any pixel has to be optimized by its preceding pixel values rather than the pixel itself. Fig. 15 illustrates an example of predictive pattern in which the pixel is to be predicted by its neighbouring four ....

Lossless and near-lossless coding of continuous tone still images (JPEG-LS), ISO/IEC JTC 1/SC 29/WG 1 FCD 14495-public draft, 1997 (http://www.jpeg.org/public/jpeglinks. htm).

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