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Dictionary approaches to image compression and reconstruction
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Ziyad, Nigel A. Chouikha, Mohamed F. Gilmore, Erwin T. |
| Copyright Year | 1998 |
| Description | This paper proposes using a collection of parameterized waveforms, known as a dictionary, for the purpose of medical image compression. These waveforms, denoted as lambda, are discrete time signals, where y represents the dictionary index. A dictionary with a collection of these waveforms Is typically complete or over complete. Given such a dictionary, the goal is to obtain a representation Image based on the dictionary. We examine the effectiveness of applying Basis Pursuit (BP), Best Orthogonal Basis (BOB), Matching Pursuits (MP), and the Method of Frames (MOF) methods for the compression of digitized radiological images with a wavelet-packet dictionary. The performance of these algorithms is studied for medical images with and without additive noise. |
| File Size | 306543 |
| Page Count | 6 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19990009121 |
| Archival Resource Key | ark:/13960/t3421x041 |
| Language | English |
| Publisher Date | 1998-01-01 |
| Access Restriction | Open |
| Subject Keyword | Computer Programming And Software Waveforms Radiology Wavelet Analysis Dictionaries Algorithms Image Reconstruction Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
