2015
DOI: 10.1007/s13042-015-0331-z
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A robust and efficient image watermarking scheme based on Lagrangian SVR and lifting wavelet transform

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Cited by 31 publications
(15 citation statements)
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“…Various regular watermarking plans are proposed similarly as associated in the field of the helpful research. In light of Lagrangian support vector backslide (LSVR) and lifting wavelet transform (LWT), Mehta et al [13] proposed a compelling picture watermarking plan, where the Arnold blended watermark is embedded into the picked squares from low repeat sub-band by one measurement DWT. Also, a watermark plan assurance figuring dependent on feature centers presentation and spread range methodology for watermark introducing are associated in this count.…”
Section: IImentioning
confidence: 99%
See 1 more Smart Citation
“…Various regular watermarking plans are proposed similarly as associated in the field of the helpful research. In light of Lagrangian support vector backslide (LSVR) and lifting wavelet transform (LWT), Mehta et al [13] proposed a compelling picture watermarking plan, where the Arnold blended watermark is embedded into the picked squares from low repeat sub-band by one measurement DWT. Also, a watermark plan assurance figuring dependent on feature centers presentation and spread range methodology for watermark introducing are associated in this count.…”
Section: IImentioning
confidence: 99%
“…Fazli and Moeini [31] presented a geometric-mutilation adaptable watermarking count, using the feathery C-infers bundling to process the component centers removed by SURF, and isolated component direct sets are used toward hole the image into triangular patches for watermark embedding. Error Tolerant ismost import part for any consumer level image processing algorithms [13]As we already know in current stage every one need fast system. We also know in current ere everyone use mobile phone and laptop for multimedia application.…”
Section: IImentioning
confidence: 99%
“…Wavelet analysis has been developed relatively fast and its applications have been extended widely in many scientific fields [16][17][18][19][20][21][22][23][24][25]. It has ability of presenting signal local information both in time domain and frequency domain.…”
Section: Wind Speed Data Processing Based On Wavelet Analysismentioning
confidence: 99%
“…Many typical watermarking schemes are proposed as well as applied in the field of the medical research. Based on Lagrangian support vector regression (LSVR) and lifting wavelet transform (LWT), Mehta et al [8] proposed an efficient image watermarking scheme, where the Arnold scrambled watermark is embedded into the selected blocks from low frequency sub-band by one level DWT. Makbol et al [9] presented an innovative image watermarking scheme based on SVD and integer wavelet transform (IWT) to overcome the false positive problem (FPP).…”
Section: Introductionmentioning
confidence: 99%