Wavelet Based Multi-Dimensional Image Coding Algorithms

Hyperspectral imaging is a powerful technique and has
been used in a large number of applications. However,
it generates massively large image data sets. Access
and transport of these data sets will stress existing
processing, storage and transmission capabilities. A
new embedded, block-based, wavelet transform coding
algorithm of low complexity is developed for
hyperspectral image compression: Three-Dimensional
Set Partitioned Embedded bloCK (3D-SPECK). 3D-SPECK
efficiently encodes 3D volumetric hyperspectral image
data by exploiting the dependencies in all
dimensions. It can generate either SNR scalable or
resolution scalable embedded bitstreams. It can also
generate ROI retrievable bitstreams.This book
introduces 3D-SPECK and describes its technical
details. It is demonstrated that 3D-SPECK has
excellent performance on hyperspectral image compression.

Autorentext

Dr. Xioali Tang was born in China. She received her Ph.D. degree from the Rensselaer Polytechnic Institute. She completed postdoctoral training at the Massachusetts General Hospital/Harvard Medical School, and the University of California at San Diego. Currently she is a faculty member with University of North Carolina.

Klappentext

Hyperspectral imaging is a powerful technique and has been used in a large number of applications. However, it generates massively large image data sets. Access and transport of these data sets will stress existing processing, storage and transmission capabilities. A new embedded, block-based, wavelet transform coding algorithm of low complexity is developed for hyperspectral image compression: Three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK). 3D-SPECK efficiently encodes 3D volumetric hyperspectral image data by exploiting the dependencies in all dimensions. It can generate either SNR scalable or resolution scalable embedded bitstreams. It can also generate ROI retrievable bitstreams.This book introduces 3D-SPECK and describes its technical details. It is demonstrated that 3D-SPECK has excellent performance on hyperspectral image compression.