Digital image tampering detection and localization using singular value decomposition technique

Due to the growing advancements in technology, many software applications are being developed to modify and edit images. Such software can be used to alter images. Nowadays, an altered image is so realistic that it becomes too difficult for a person to identify whether the image is fake or real. Such software applications can be used to alter the image of a person’s face also. So, it becomes very difficult to identify whether the image of the face is real or not. Our proposed system is used to identify whether the image of a face is fake or real. The proposed system makes use of machine learning. The system makes use of a convolution neural network and support vector classifier. Both these machine learning models are trained using real as well as fake images. Both these trained models will take an image as an input and will determine whether the image is fake or real.

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“…The generated hash value will be affected if any tampering is done on the image. Such a hash vector will help in localizing image tampering [5].…”

Section: Review Of Literaturementioning

confidence: 99%

Fraudulent Face Image Detection

Awhad

Jayswal

et al. 2020

ITM Web Conf.

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“…For short length hash, Singular Value Decomposition (SVD) is used to select components having most energy [18]. Singular Value Decomposition (SVD) is used to find a suitable and efficient representation of the image from which the correlation coefficients are calculated to generate a hash [19].…”

Section: Review Of Literaturementioning

confidence: 99%

Image Hashing Using DWT-CSLBP

Patil¹,

Sarode²

2019

JCP

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Center Symmetric Local Binary Pattern (CSLBP) is widely used in texture and object detection, but its utilization in image hashing is still limited. Image hashing is a powerful technique to identify whether image content is changed or preserved. Two main issues in image hashing are its compact length and its robust discrimination power. To deal with these issues, a robust image hashing method is proposed by combining features of CSLBP and Discrete Wavelet Transform(DWT). CSLBP is applied on LL band of DWT for compact length hash. Discrimination power of hashing is enhanced by weigh factor which comprises information from all sub bands of 1-Level DWT. All sub-band images of 1-Level DWT is combined to form secondary image. Local statistical features like Standard Deviation and Magnitude Average are calculated to obtain local weight factor MASD (Magnitude Average and Standard Deviation). Weighted LL-CSLBP histogram is constructed using this weight factor. Experimental results are demonstrated with Receiver Operating Characteristics (ROC) and Normalized Hamming Distance (NHD). The results shows that, the proposed scheme is robust against content preserving operations and sensitive to malicious operations.

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PNG image copyright protection and authentication using SVD hash and AES

Jain¹,

Jain²

2014

2014 International Conference on Advances in Engineering &Amp; Technology Research (ICAETR - 2014)

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There has been a rapid growth in the use of digital images due to development of modern technology. And easily available image editing tools and software's have made these images easy to distribute, manipulate, and duplicate. All these reasons are enforcing a need for copyright enforcement methods that can provide copyright to the owner. In our proposed method a PNG image is used as the cover image in which the alphachannel value of each pixel is set to default. That is, the cover image is a totally transparent color one at the beginning of the proposed data hiding process. When we apply data hiding technique to any PNG image which has transparency, it distorts the image transparency, which causes visibility issues with PNG image. To overcome this issue proposed technique uses 3 LSB of alpha channel to embed signals in image. In proposed technique owner encrypted information and hash code using SVD is embedded in image. SVD hash can be used to cross check the image contents. Experimental result show, there is no visible defect after embedding authentication signal into the cover images using proposed technique. In this paper, the proposed technique embeds the copyright information (authentication signal) which is encrypted using 128 bit AES and Singular Value Data (SVD) by using Shamir secret sharing data hiding technique. This technique is very robust and more secure as compared to previous data hiding techniques.

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Digital image tampering detection and localization using singular value decomposition technique

Cited by 4 publications

References 11 publications

Fraudulent Face Image Detection

Fraudulent Face Image Detection

Image Hashing Using DWT-CSLBP

PNG image copyright protection and authentication using SVD hash and AES

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