A New Pre-processing Approach to Improve DCT-Based Watermarkings Extraction

Kasmani, Saied Amirgholipour; Mahfouzi, Meysam; Asfia, Mohsen

doi:10.1109/iacsit-sc.2009.79

Cited by 8 publications

(5 citation statements)

References 14 publications

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“…The imperceptibility means that how much the embedded information makes reductions in signal quality; and the robustness is the ability of the watermark to remain readable after innocent or malicious signal processing operations on the watermarked image. These parameters are incompatible with each other and they should be set to meet the requirements of the application (Kasmani et al, 2009;Kasmani and Naghsh-Nilchi, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…This noise is magnified before detection and then recovers the watermark information by adjusting the extracted data from the frequency domain according to the global minimum method (Pan et al, 2004). A preprocessing method is proposed that exploit a combination of noise boosting and filtering to facilitate recovering the watermark from watermarked image in the DCT-based watermarking algorithm (Kasmani et al, 2009;Kasmani and Sharifi, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Effect of Different Places in Applying Laplacian Filter on the Recovery Algorithm in Spatial Domain Watermarking

Amirgholipour¹,

Saffari²,

Sharifi³

et al. 2014

RJASET

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Generally, Laplacian filter is used to make an image more defined and enhanced. In this study, a comparison is toke place between the effects of different places of performing Laplacian filter on the power of the watermark recovery in spatial domain image watermarking. This filter is applied in two different places in the watermark recovery algorithm; before performing the watermark recovery and before take the correlation in the middle of recovery algorithm. The distinction between the watermark and UN water marked parts of the image are increased by this filter. Thus, watermark could recover significantly better by recovery algorithm. We intend to determine which of these places is more appropriate to apply this filter. A typical correlation based method is used as a representative of spatial domain watermarking methods. Several experiment are done to compare the effect of different places in applying proposed filter on quality of extracted watermark in correlation based watermarking algorithm.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Different Places in Applying Laplacian Filter on the Recovery Algorithm in Spatial Domain Watermarking

Amirgholipour¹,

Saffari²,

Sharifi³

et al. 2014

RJASET

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show abstract

“…The main advantage of ADCT is its energy compaction capability. Moreover, it also attains critical sampling, a minimization of block effect and flexible window switching (Kasmani et al, 2009).…”

Section: Adct and Iwfps Pitch Synchronous Based Speech Enhancementmentioning

confidence: 99%

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

Balaji¹

2014

American Journal of Applied Sciences

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Speech enhancement has become an essential issue within the field of speech and signal processing, because of the necessity to enhance the performance of voice communication systems in noisy environment. There has been a number of research works being carried out in speech processing but still there is always room for improvement. The main aim is to enhance the apparent quality of the speech and to improve the intelligibility. Signal representation and enhancement in cosine transformation is observed to provide significant results. Discrete Cosine Transformation has been widely used for speech enhancement. In this research work, instead of DCT, Advanced DCT (ADCT) which simultaneous offers energy compaction along with critical sampling and flexible window switching. In order to deal with the issue of frame to frame deviations of the Cosine Transformations, ADCT is integrated with Pitch Synchronous Analysis (PSA). Moreover, in order to improve the noise minimization performance of the system, Improved Iterative Wiener Filtering approach called Constrained Iterative Wiener Filtering (CIWF) is used in this approach. Thus, a novel ADCT based speech enhancement using improved iterative filtering algorithm integrated with PSA is used in this approach.

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“…The imperceptibility means that how much the embedded information make reductions in signal quality; and the robustness is the ability of the watermark to remain readable after innocent or malicious signal processing operations on the watermarked image. These parameters have conflict with each other [3].…”

Section: Introductionmentioning

confidence: 99%

“…This noise is magnified before detection, and then recovers the watermark information by adjusting the extracted data from the frequency domain according to the global minimum method [18]. A preprocessing method is proposed that exploit a combination of Laplacian and Laplacian of Gaussian filtering to improve recovering the watermark from watermarked image in the DCT-based watermarking algorithm [3,17]. They prove that preforming these filter before watermark recovery in the DCT based watermarking could significantly increase chance of watermark recovery.…”

mentioning

confidence: 99%

Optimizing Of Spatial Domain Watermark Recovery Algorithm By Laplacian Filter

Alirezanejad¹,

Amirgholipour²,

Saffari³

et al. 2014

J. Math. Computer Sci.

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In this paper, impact of a Laplacian filter in better watermark recovery in the spatial domain watermarking algorithms has been investigated. A Laplacian filter is an enhancement filter, this filter could be utilized to optimize extraction of the watermark information in spatial domain watermarking. The distinction between the watermark and unwatermarked part is increased by this filter. Thus, watermark could be extracted significantly better by the watermark recovery algorithm. To show effectiveness of Laplacian filter on the spatial domain watermarking algorithms, it is applied on a typical correlation based method. Several experiments are done to show that performance of correlation based watermarking algorithm is improved by applying this filter before watermark extraction procedure.

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A New Pre-processing Approach to Improve DCT-Based Watermarkings Extraction

Cited by 8 publications

References 14 publications

Effect of Different Places in Applying Laplacian Filter on the Recovery Algorithm in Spatial Domain Watermarking

Effect of Different Places in Applying Laplacian Filter on the Recovery Algorithm in Spatial Domain Watermarking

A Novel Speech Enhancement Approach Based on Modified DCT and Improved Pitch Synchronous Analysis

Optimizing Of Spatial Domain Watermark Recovery Algorithm By Laplacian Filter

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