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Proceedings Paper

Lossless image compression using modular differential pulse code modulation
Author(s): Syed A. Rizvi; Richard Toussaint; George Awad
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Paper Abstract

This paper presents a new lossless image compression technique called modular differential pulse code modulation. The proposed technique consists of a VQ classifier and several neural network class predictors. The classifier uses the four previously encoded pixels to identify the class of the current pixel (the pixel to be predicted). The current pixel is then predicted by the corresponding class predictor. Experimental results demonstrate that the proposed technique reduces the bit rate by as much as 10 percent when compared to the lossless JPEG.

Paper Details

Date Published: 14 April 2000
PDF: 7 pages
Proc. SPIE 3962, Applications of Artificial Neural Networks in Image Processing V, (14 April 2000); doi: 10.1117/12.382920
Show Author Affiliations
Syed A. Rizvi, CUNY/College of Staten Island (United States)
Richard Toussaint, CUNY/College of Staten Island (United States)
George Awad, CUNY/College of Staten Island (United States)


Published in SPIE Proceedings Vol. 3962:
Applications of Artificial Neural Networks in Image Processing V
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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