In this work we consider an optimization method to image file compression based on fuzzy logic. This optimization is realized thanks to wavelet transform in a pre-compression phase. Thanks to this approach in the pre-processing phase the wavelet transform is used to fix some relevant parameters like as the best compression box and other tolerance parameter (locally defined). With respect to the traditional approach by using wavelet this method is better from time consuming point of view. While with respect to a standard fuzzy logic approach the presented method has the advantage to perform compression with different ratio on different box optimized with respect to each subimage.
An Optimization technique for image compression
GAETA, Matteo;GIORDANO, PAOLA;IOVANE, Gerardo
2005
Abstract
In this work we consider an optimization method to image file compression based on fuzzy logic. This optimization is realized thanks to wavelet transform in a pre-compression phase. Thanks to this approach in the pre-processing phase the wavelet transform is used to fix some relevant parameters like as the best compression box and other tolerance parameter (locally defined). With respect to the traditional approach by using wavelet this method is better from time consuming point of view. While with respect to a standard fuzzy logic approach the presented method has the advantage to perform compression with different ratio on different box optimized with respect to each subimage.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
