We present an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillatory events in the other direction. Seismic and hyperspectral data have this mixed structure. The transform part of the compression process is an algorithm that combines wavelet and the local cosine transform (LCT). The quantization and the entropy coding parts in th...

BACKGROUND Recently, there has been increasing interest in the development of wireless home sleep staging systems that allow the patient to be monitored remotely while remaining in the comfort of their home. However, transmitting large amount of Polysomnography (PSG) data over the Internet is an important issue needed to be considered. In this work, we aim to reduce the amount of PSG data which...

This paper presents a listless variant of a modified three-dimensional (3D)-block coding algorithm suitable for medical image compression. A higher degree of correlation is achieved by using a 3D hybrid transform. The 3D hybrid transform is performed by a wavelet transform in the spatial dimension and a Karhunen-Loueve transform in the spectral dimension. The 3D transformed coefficients are arr...

All pipelines are subject to corrosion and require inspection in accordance with regulatory requirements to ensure human safety. Intelligent Pipeline Inspection Gauges (PIGs) as shown in Figure 1 have provided reliable on-line inspection of pipelines for many years, supplying operators with detailed information about pipeline condition. The average transmission pipe length is 300km and the aver...

of the Thesis DCT Based SPIHT Architecture for Hyperspectral Image Data Compression by Jieming Xu Master of Science in Electrical and Computer Engineering Northeastern University, August 2016 Prof. Vinay K. Ingle, Adviser The wavelet transformation is leading and widely used technology in transform coding. Many coding algorithms are designed for this transformation based on its unique structure...