Image Tamper Detection Based on Edge Image and Chaotic Arnold Map

Vaishnavi, D.; Subashini, T. S.

doi:10.17485/ijst/2015/v8i6/70074

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…This method is appropriate to identify the splicing of numerous objects. D Vaishnavi et al [17] suggested a technique that works to identify the image splicing which is based on digital watermarking. Spliced image is formed when two images are combined.…”

Section: Related Workmentioning

confidence: 99%

Texture based Image Splicing Forgery Recognition using a Passive Approach

Hassan

Sharma

2021

IJIE

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With the growing usage of the internet in daily life along with the usage of dominant picture editing software tools in creating forged pictures effortlessly, make us lose trust in the authenticity of the images. For more than a decade, extensive research is going on in the Image forensic area that aims at restoring trustworthiness in images by bringing various tampering detection techniques. In the proposed method, identification of image splicing technique is introduced which depends on the picture texture analysis which characterizes the picture areas by the content of the texture. In this method, an image is characterized by the regions of their texture content. The experimental outcomes describe that the proposed method is effective to identify spliced picture forgery with an accuracy of 79.5%.

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Section: Related Workmentioning

confidence: 99%

Texture based Image Splicing Forgery Recognition using a Passive Approach

Hassan

Sharma

2021

IJIE

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“…Hence, the various methods of tampering detection have been offered. In era, fragile watermarking [1][2][3][4][5] and digital signatures [6][7][8] were used to distinguish the image forgeries.…”

Section: Introductionmentioning

confidence: 99%

Visual Feature Based Image Forgery Detection

Vaishnavi¹,

Mahalakshmi²,

Alapati³

2018

IJET

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In present days, the images are building up in digital form and which may hold essential information. Such images can be voluntarily forged or manipulated using the image processing tools to abuse it. It is very complicated to notice the forgery by naked eye s. In particular, the copy move forgery is enormously demanding one to expose. Hence, this paper put forwards a method to determine the copy move forgery by extracting the visual feature called speed up robust features (SURF). In the direction to quantitatively analyze the performance, the metrics namely false positive rate and true positive rate are estimated and also comparative study is carried out by previous existing methods.

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“…There is a large number of digi-tal watermarking schemes, which the major drawback of them is lack of safety. For last couple of decades, chaotic functions such as coupled chaotic maps, skew tent map, Markov maps, Logistic map, Arnold map, and Bernoulli maps have been widely used to generate watermark sequences [14,15,24,[38][39][40] . These types of watermark generation schemes require two values, the function seed and the initial value, in order to recreate the same watermark at a later stage.…”

Section: Introductionmentioning

confidence: 99%

Watermarking based on discrete wavelet transform and q -deformed chaotic map

Behnia

Yahyavi

Habibpourbisafar

2017

Chaos, Solitons & Fractals

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Hierarchy of one-dimensional ergodic chaotic maps with Tsallis type of q-deformation are studied. We find that in the chaotic region, these maps with q-deformation are ergodic as the Birkhoff ergodic theorem predicts. q-deformed maps are defined as ratios of polynomials of degree N. Hence, by using the Stieltjes transform approach (STA), invariant measure is proposed. In addition, considering Sinai-Ruelle-Bowen (SRB) measure, Kolmogorov-Sinai (KS) entropy for q-deformed maps is calculated analytically. The new q-deformed scheme have ability to keep previous significant properties such as ergodicity, sensitivity to initial condition. By adding q-parameter to the hierarchy in order increase the randomness and oneway computation, we present a new scheme for watermarking. The introduced algorithm tries to improve the problem of failure of encryption such as small key space, encryption speed and level of security. To illustrate the effectiveness of the proposed scheme, some security analyses are presented. By considering the obtained results, it can be concluded that, this scheme have a high potential to be adopted for watermarking. It can be concluded that, the proposed novel watermarking scheme for image authentication can be applied for practical applications.

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Image Tamper Detection Based on Edge Image and Chaotic Arnold Map

Cited by 13 publications

References 14 publications

Texture based Image Splicing Forgery Recognition using a Passive Approach

Texture based Image Splicing Forgery Recognition using a Passive Approach

Visual Feature Based Image Forgery Detection

Watermarking based on discrete wavelet transform and q -deformed chaotic map

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