Lossy image compression: domain decomposition-based algorithms

Image compression is concerned with minimization of the number of informationcarrying units used to represent an image. Lossy compression techniques incursome loss of information which is usually imperceptible. In return for accepting this distortion, we obtain much higher compression ratios than is possiblewith lossless compression. Salient features of this book include: four new image compression algorithms and implementation of these algorithms; detailed discussion of fuzzy geometry measures and their application in image compressionalgorithms; new domain decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression algorithms for different parallel architectures and evaluation of time complexity for encoding on all architectures; parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine (PVM) environment. Introduces new image compression algorithms and their implementation. Provides a detailed discussion of fuzzy geometry measures and their application inimage compression algorithms. Describes parallel implementation of image compression algorithms on a cluster in Parallel Virtual Machine environment. INDICE: Introduction. Tree Triangular Coding Image Compression Algorithms.Image Compression Using Quality Measures. Parallel Image Compression Algorithms. Conclusions and Future Directions.

• ISBN: 978-1-4471-2217-3
• Editorial: Springer London
• Encuadernacion: Rústica
• Páginas: 89
• Fecha Publicación: 28/08/2011
• Nº Volúmenes: 1
• Idioma: Inglés