Good quality images digitally to have an enormous storage and bandwidth. In modern times, with rising user expectations for image quality, compression efficiency is necessary for memory and transmission time to keep within reasonable limits to keep. Image compression involves reducing the number of information units used to represent an image. Lossy compression techniques to make a loss of information is usually not visible. In exchange for receiving this distortion, we get a report much higher compression than is possible with lossless compression. Important features of this book include the following: four new image compression algorithms and implementing these measures discussion algorithmsDetailed fuzzy geometry and its application in image compression algorithms based domain decomposition algorithmsNew to image quality and study quality various measures for grayscale image compression algorithms for different architectures compression parallel evaluation time complexity for encoding all orientation parallel implementation of image compression algorithms in a parallel virtual machine group (PVM) environment.This book will be interest to students, researchers and practicing engineers seeking a new image compression techniques perceived better quality images digitally with a high compression ratio than conventional algorithms.
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ISBN-10 of ebook: 1447122178
ISBN-13 of ebook: 9781447122173
Publisher of ebook: Springer
Pages of ebook: 138
Date of ebook: September 2011