Name
Title | ||
|---|---|---|
Quality of Reconstructed Spectrum for Watermarked Spectral Images Subject to Various Illumination Conditions |
Abstract | ||
|---|---|---|
Digital imaging continues expansion to various applications. Spectral images are becoming more popular as one field of digital imaging. In this study we. utilize a watermarking method for spectral images, based on the three-dimensional wavelet transform. We study the influence of watermarking process to illuminated watermarked images. In particular, we focus on how the watermarking effects to the spectrum of restored images. The experiments were performed on a large dataset of 58 spectral images. The experiments indicate that using the proposed watermarking method the quality of reconstructed image depends more on illumination and embedding strength controller than compression, with respect to L*a*b* color difference. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-04697-1_53 | ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS |
Keywords | Field | DocType |
Spectral images,watermarking,wavelets | Computer vision,Digital watermarking,Control theory,Embedding,Pattern recognition,Computer science,Artificial intelligence,Digital imaging,Color difference,Wavelet,Wavelet transform | Conference |
Volume | ISSN | Citations |
5807 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Konstantin Krasavin | 1 | 1 | 1.07 |
| Jussi Parkkinen | 2 | 289 | 50.06 |
| Arto Kaarna | 3 | 174 | 27.50 |
| Timo Jaaskelainen | 4 | 32 | 8.83 |