A robust digital watermarking technique

Suhail, M. A.; Obaidat, Mohammad S.

doi:10.1109/icecs.2000.912956

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quality measure of signatured image and the signature itself can statistically be measured by Normalized Correlation, NC [13] given as: where W be the original watermark and W' be the extracted watermark.…”

Section: Resultsmentioning

confidence: 99%

Hiding Signature In Colored Image

Singhal

Srivastava

Mishra³

2006

2006 International Symposium on Communications and Information Technologies

View full text Add to dashboard Cite

A colored image can be primarily classified into the fiat featureless and textured regions. In contrary to the fiat regions, the textured regions constitute the content of the image and thus require a technique that focuses towards specifically securing these textured regions of the colored image. The algorithm classifies the colored image into equi-sized blocks of textured area on the basis of the level of texture captured within the block and finally embeds the watermark in layers using frequency domain transformation.

show abstract

Section: Resultsmentioning

confidence: 99%

Hiding Signature In Colored Image

Singhal

Srivastava

Mishra³

2006

2006 International Symposium on Communications and Information Technologies

View full text Add to dashboard Cite

show abstract

“…These are: the Image carrier (the original image), a Watermark generator (Multi-parameter Transformation method), and the Watermarked image. Embedding the watermark and detecting it are the main tasks of any watermarking scheme [4] …”

Section: Digital Image Securitymentioning

confidence: 99%

“…The image carrier or the digital image will undergo spatial transformations to deploy Invisible watermarks [4]. The image is sliced based on the random key generated through rand function; the key is later used in the recovery or the reconstruction of the original image successfully.…”

Section: Figure 1 Watermarking Schemementioning

confidence: 99%

Multi-parameter Watermarking for Digital Images

Madhusudhan¹,

Suma²

2016

IJCA

View full text Add to dashboard Cite

The primary focus in today's world is to secure digital images. The digital images are an integral entity in the entire health care management process, from scans to diagnosis to treatment and beyond. While the patient and the doctor(s) are engaged in the process, the digital images of the patient are available and accessible to many. The multi-parameter watermarking enables secure and robust method to enhance the complexity of the system to avert malicious attack. The 'Privacy' of the patient data is enhanced by means of an algorithm with multi-parameter watermarking; the Watermark designed will provide the 'hard-wall' against any unscrupulous attack on the images/system. Implementation outcome will be discussed; algorithm designed and developed to demonstrate a novel watermarking method by defining various parameters for watermarking. Deploying such watermarking methods into tools and procedures will help enhance the 'Privacy' and 'Fiduciary' relationships with which the patient's data is shared between patient and a doctor. It is good to include a combination of methods, visible and invisible watermarks, open and blind watermarks to deceive the unauthorized user or an attacker. Designing the approach which embodies different parameters by using random sequences while the image is sliced with a key unknown to other than the owner (the provider) and actual consumer(s) is critical in providing security to the digital images.

show abstract

“…The experiment results are concluded in the form of watermarked image quality and extracted watermark quality. The quality metrics of watermarked image and extracted watermark are calculated in terms of Normalized Correlation, NC [16], Universal Image Quality Index, Q [17], and Peak Signal to Noise Ratio, PSNR [18] Normalize correlation is given as:…”

Section: Introductionmentioning

confidence: 99%

Comparison of different wavelets for watermarking of colored images

Singhal

Singh

Tenguria

2011

2011 3rd International Conference on Electronics Computer Technology

View full text Add to dashboard Cite

Digital watermarking is very lucrative field over the years. Researchers have tried various techniques for watermarking images. In recent time, wavelet transforms has emerged as a popular technique for image compression and watermark applications. The wavelet transform has high decorrelation and energy compaction efficiency. This paper presents a comparative study of various wavelet techniques for watermarking and tests the results in terms of watermarked image quality, extracted watermark quality and its substance to JPEG 2000 compression.

show abstract

A robust digital watermarking technique

Cited by 4 publications

References 7 publications

Hiding Signature In Colored Image

Hiding Signature In Colored Image

Multi-parameter Watermarking for Digital Images

Comparison of different wavelets for watermarking of colored images

Contact Info

Product

Resources

About