Name
Title | ||
|---|---|---|
Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images. |
Abstract | ||
|---|---|---|
In this paper, we present an introduction of digital image watermarking followed by important characteristics and potential applications of digital watermarks. Further, recent state-of-the-art watermarking techniques as reported by noted authors are discussed in brief. It includes the performance comparison of reported transform/spatial domain based watermarking techniques presented in tabular form. This comprehensive survey will be significant for researchers who will be able to implement more efficient watermarking techniques. Moreover, we present a robust watermarking technique using fusion of discrete wavelet transform (DWT) and Karhunen-Loeve transform for digital images. Further, visual quality of the watermarked image is enhanced by using different image de-noising techniques. The results are obtained by varying the gain factor, size of the image watermark, different DWT sub-bands, and image processing attacks. Experimental results demonstrate that the method is imperceptible and robust for different image processing attacks. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1515/jisys-2017-0032 | JOURNAL OF INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
Image watermarking,DWT,KLT,PSNR,NC,de-noising | Pattern recognition,Karhunen–Loève theorem,Computer science,Information hiding,Digital image,Artificial intelligence,Discrete wavelet transform,Haar wavelet | Journal |
Volume | Issue | ISSN |
27 | SP1 | 0334-1860 |
Citations | PageRank | References |
4 | 0.39 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akankasha Sharma | 1 | 4 | 0.39 |
| Amit Kumar Singh | 2 | 645 | 63.25 |
| Pardeep Kumar | 3 | 243 | 24.38 |