Reversible Image Watermarking through Coordinate Logic Operation Based Prediction

Naskar, Ruchira; Chakraborty, Rajat Subhra

doi:10.1007/978-3-642-25560-1_13

Cited by 7 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Let us consider that the first pixel (gray value) of the cover image is 255 and the first binary bits of the three watermarks [8,9,10] are 1, 0, 1 respectively as shown in the Fig. 1.…”

Section: Explanation Of the Proposed Methodsmentioning

confidence: 99%

“…Imperceptibility and robustness are two main features of a good watermark [5,6]. Robust watermarking [7,8,9] means, when an image is less damaged after retrieving. If the quality of the watermarked [10,11,12] image is seriously affected after embedding, then the watermarked image can be identified easily.…”

Section: Introductionmentioning

confidence: 99%

“…In 2010, Wu [7] et al presented a paper on fixed point and floating point data. In this paper, watermarked image [8,9,10] is exploited to get the actual recovery of the original value with the smallest error and then a pseudorandom sequence was added to the watermarked [11,12] object for security purpose.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High Payload Watermarking using Residue Number System

Banerjee¹,

Chakraborty²,

Dey³

et al. 2015

IJIGSP

View full text Add to dashboard Cite

Information hiding or data hiding, also known as watermarking, has become a part and parcel of covert communication and copyright protection. Maximizing watermark payload is a major challenge for watermark researchers. To overcome this issue, we have proposed a new color image watermarking technique, using residue number system (RNS). RNS refers to a large integer using a set of smaller integers which relies on the Chinese remainder theorem of modular arithmetic for its operation. The proposed method takes pixel values from three watermark images and embeds them into the main cover image. Experimental results presented in this paper shows that the watermark can be successfully embedded and extracted from an image, without distorting the original image using the proposed technique. The high peak signal to noise ratio (PSNR) and payload values claims the robustness of the proposed method.

show abstract

“…Let us consider that the first pixel (gray value) of the cover image is 255 and the first binary bits of the three watermarks [8,9,10] are 1, 0, 1 respectively as shown in the Fig. 1.…”

Section: Explanation Of the Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High Payload Watermarking using Residue Number System

Banerjee¹,

Chakraborty²,

Dey³

et al. 2015

IJIGSP

View full text Add to dashboard Cite

show abstract

“…According to both histogram-bin-shifting based [5][6][7][8] and prediction error histogram modification based [12][13][14] techniques of greyscale image reversible watermarking, if Y and Z are the watermarked and the original greyscale cover images, respectively, then…”

Section: Reversible Watermarking By Prediction Error Histogram Modifimentioning

confidence: 99%

“…Some examples of such functions are 'mean, median, weighted mean, weighted median' and so on. For details of the prediction methods for reversible image watermarking, the readers are requested to consult the referred works such as [12][13][14]. For each predicted value φ(⌊I(x, y)⌋), the prediction error e I (x, y) is computed as…”

Section: Reversible Watermarking By Prediction Error Histogram Modifimentioning

confidence: 99%

Histogram‐bin‐shifting‐based reversible watermarking for colour images

Naskar¹,

Chakraborty²

2013

IET Image Processing

Self Cite

View full text Add to dashboard Cite

Histogram-bin-shifting has been previously shown to be an effective method of reversibly watermarking greyscale images. For colour image reversible watermarking, histogram-bin-shifting technique can be extended trivially to RGB colour space. However, direct application of histogram-bin-shifting to the RGB colour image components, results in relatively poor performance of the watermarking algorithm. In order to improve the performance of the algorithm in terms of embedding capacity and distortion whereas preserving the inherent computational simplicity of the histogram-bin-shifting technique, the authors propose a technique of shifting frequency histogram bins of transformed colour components. In this study, the authors consider the YCbCr colour-space. Experimental results on standard test images, prove that the proposed technique achieves high embedding capacity with considerably low distortion.

show abstract

Improved adaptive reversible watermarking in integer wavelet transform using moth-flame optimization

Borra

2023

Multimed Tools Appl

View full text Add to dashboard Cite

Reversible Image Watermarking through Coordinate Logic Operation Based Prediction

Cited by 7 publications

References 9 publications

High Payload Watermarking using Residue Number System

High Payload Watermarking using Residue Number System

Histogram‐bin‐shifting‐based reversible watermarking for colour images

Improved adaptive reversible watermarking in integer wavelet transform using moth-flame optimization

Contact Info

Product

Resources

About