A generalized tamper localization approach for reversible watermarking algorithms

Naskar, Ruchira; Chakraborty, Rajat Subhra

doi:10.1145/2487268.2487272

Cited by 21 publications

(7 citation statements)

References 17 publications

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“…3. Table 1 reports high PSNR and high correlation values obtained from current multiple image hiding technique [12,13,14]. To our knowledge, substantial amount of work has not been done in the domain of multiple image embedding.…”

Section: Resultsmentioning

confidence: 99%

“…As an extraction [12,13,14] mechanism, 22 and 9 is multiplied and added with 3. The generated result (201) is split into 3 single digit numbers (2, 0, 1 2 714 mod 3 = 2, so we will consider 14 for feather processing.…”

Section: Explanation Of the Proposed Methodsmentioning

confidence: 99%

“…If the quality of the watermarked [10,11,12] image is seriously affected after embedding, then the watermarked image can be identified easily. The property of less degradation of an image is referred to as imperceptibility [13,14,15]. The secret message is embedded as an invisible mark [16,17] and recovered back after the extraction of watermark.…”

Section: Introductionmentioning

confidence: 99%

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High Payload Watermarking using Residue Number System

Banerjee¹,

Chakraborty²,

Dey³

et al. 2015

IJIGSP

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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.

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Section: Resultsmentioning

confidence: 99%

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

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show abstract

“…In [17] a framework for applying reversible data embedding to fragile watermarking is developed. The work divides an image into tamper localization blocks and shows how to embed in these blocks a secure hash (apparently used with a key, thus properly a message authentication code) using any reversible data embedding algorithm; moreover, it uses the idea of merging blocks in case a single block is not able to completely carry a hash.…”

Section: Related Workmentioning

confidence: 99%

Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels

Botta

Cavagnino

Pomponiu

2020

Multimed Tools Appl

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The paper presents a methodology to protect the integrity of multichannel images, having some highly redundant channels, by means of a reversible fragile watermarking algorithm. The watermark embedding phase uses a lossless compression method to compress the high redundancy channels, stores the compressed stream into their most significant bits, then embeds a secret fragile watermark by modifying the least significant bits of the high redundancy channels. In case the watermarked image is not modified, the host image can be perfectly reconstructed; otherwise, the modified area can be detected and located with very high probability and the area that has not been forged can be restored as in the original host image. The embedding of the watermark is performed by a Genetic Algorithm in the Karhunen-Loève Transform (KLT) domain: the use of a secret space defined by the KLT guarantees both security of the method and a high sensitivity in the detection of the forged areas.

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“…The image watermarking algorithm is an effective method to recovery images information [3, 5, 7, 9-13, 15-20, 22, 29, 31-33]. The scheme [13] proposed a reversible watermarking algorithm based on a tamper localization mechanism, which allows selective rejection of distorted cover image regions in case of authentication failure. The advantage of the algorithm is a high resolution of tampering detection and results in minimal rejection of no tampered pixels.…”

Section: Introductionmentioning

confidence: 99%

Medical images lossless recovery based on POB number system and image compression

Zhang

et al. 2022

Multimed Tools Appl

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To protect the information integrity of the medical images, this paper proposes a secure lossless recovery scheme for medical images based on image block compression and permutation ordered binary (POB) number system, which includes two parts: share generation, and lossless recovery. In the shares generation stage, the region of interest (ROI) of the original medical image and the image block compression coding algorithm JPEG-LS, are firstly adopted to generate the compressed data, which can use limited storage space to place the data repeatedly. Then, after separating the bit-plane, the compressed data are executed by data reorganization and data encryption respectively on the high-plane and the low-plane. Finally, two authentication bits are extracted by 8-bit pixel of two planes to be inserted into the pixel itself, and then the 10-bit pixel is converted into an 8-bit POB value to produce two shares of ShareH and ShareL, respectively. In the lossless recovery stage, data of placing repeatedly can restore the original image. At the same time, three attacks are carried in the two shares, which contain content cropping, content exchange, and text addition. Some comparisons with other schemes present that the proposed scheme implements a better performance under some criteria. Theoretical analysis and experimental results demonstrate that the original image can be recovered losslessly even if two shares are tampered at the ration more than 50%.

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A generalized tamper localization approach for reversible watermarking algorithms

Cited by 21 publications

References 17 publications

High Payload Watermarking using Residue Number System

High Payload Watermarking using Residue Number System

Reversible Fragile Watermarking for Multichannel Images with High Redundancy Channels

Medical images lossless recovery based on POB number system and image compression

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