학술논문
SVD lossy adaptive encoding of 3D digital images for ROI progressive transmission
Document Type
Article
Source
Subject
*THREE-dimensional imaging
*DIGITAL image processing
*SINGULAR value decomposition
*ALGORITHM research
*DATA transmission systems
*TOMOGRAPHY
*JPEG (Image coding standard)
*TUMOR diagnosis
*DIAGNOSTIC imaging
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Language
ISSN
0262-8856
Abstract
Abstract: In this paper, we propose an algorithm for lossy adaptive encoding of digital three-dimensional (3D) images based on singular value decomposition (SVD). This encoding allows us to design algorithms for progressive transmission and reconstruction of the 3D image, for one or several selected regions of interest (ROI) avoiding redundancy in data transmission. The main characteristic of the proposed algorithms is that the ROIs can be selected during the transmission process and it is not necessary to re-encode the image again to transmit the data corresponding to the selected ROI. An example with a data set of a CT scan consisting of 93 parallel slices where we added an implanted tumor (the ROI in this example) and a comparative with JPEG2000 are given. [Copyright &y& Elsevier]