An efficient forgery detection algorithm for object removal by exemplar-based image inpainting

Liang, Zaoshan; Yang, Gaobo; Ding, Xiangling; Li, Leida

doi:10.1016/j.jvcir.2015.03.004

Cited by 81 publications

(25 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In-painting [19] is another technique that has been used for forgery detection. It works by rebuilding the deteriorated part of an image.…”

Section: Related Workmentioning

confidence: 99%

“…The authors proposed a copy-move image forgery method in which an object is removed from an image and is pasted on a different location on the same image. Two in-painting techniques [19] were used to detect the object removal, geometry-oriented and texture-oriented. Their proposed technique, which was referred to as exemplar-based image in-painting, reported significant decrease in search time for image blocks.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Bhatti¹,

Hussain²,

Qayyum³

et al. 2018

ijacsa

View full text Add to dashboard Cite

Abstract-Digital images are a very popular way of transferring media. However, their integrity remains challenging because these images can easily be manipulated with the help of software tools and such manipulations cannot be verified through a naked-eye. Although there exist some techniques to validate digital images, but in practice, it is not a trivial task as the existing approaches to forgery detection are not very effective. Therefore, there is need for a simple and efficient solution for the challenge. On the other hand, digital image steganography is the concealing of a message within an image file. The secret message can be retrieved afterwards by the author to check the image file for its veracity. This research paper proposes Sabiomha, an image forgery technique that make use of image steganography. The proposed technique is also supported by a software tool to demonstrate its usefulness. Sabiomha works by inserting an invisible watermark to certain alpha bits of the image file. The watermark we have used to steganograph an image is composed of a combination of text inputs the author can use to sign the image. Any attempts to tamper the image would distort the sequence of the bits of the image pixel. Hence, the proposed technique can easily validate originality of a digital image by exposing any tampering. The usability of our contribution is demonstrated by using the software tool we developed to automate the proposed technique. The experiment which we performed to further validate our technique suggested that Sabimoha could be flawlessly applied to image files.

show abstract

“…In-painting [19] is another technique that has been used for forgery detection. It works by rebuilding the deteriorated part of an image.…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Bhatti¹,

Hussain²,

Qayyum³

et al. 2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…Recently, Liang et al [20] presented an efficient forgery detection algorithm for object removal by exemplar-based inpainting. This method can reduce processing time while maintaining detection precision.…”

Section: Related Researchmentioning

confidence: 99%

Copy-move image forgery detection based on Gabor magnitude

Lee

2015

Journal of Visual Communication and Image Representation

View full text Add to dashboard Cite

“…Object removal is also an important application of the exemplar-based inpainting method. Many scholars have studied these aspects and the results demonstrate the effectiveness of the approach [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka

Wang

Jia

2017

J Image Video Proc.

View full text Add to dashboard Cite

Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200-1212, 2004, fills missing regions by using a similar exemplar. However, when the missing region is a unique texture patch, an incorrect texture is filled in the missing region because a similar exemplar of damaged patch could not be found. A new image inpainting method based on an eight-direction or arbitrary direction symmetrical exemplar is proposed, suitable for damaged images containing local symmetry. The following three steps are the keys of this method. (1) According to certain similarity criteria, the symmetrical exemplars of damaged regions in eight directions or arbitrary directions are found. (2) The most similar symmetrical exemplar is selected from eight-direction or arbitrary-direction symmetrical exemplars. (3) Finally, the damaged region is filled using the most similar symmetrical exemplar. It is shown that the results of image inpainting are good when missing image regions have similar symmetry. Image inpainting is a single, efficient method. In addition, a new evaluation method of image restoration results based on similar exemplars is proposed for the inpainting effect, which is closely related to the repair algorithm. Therefore, the methods can more objectively measure the inpainting effect.

show abstract

An efficient forgery detection algorithm for object removal by exemplar-based image inpainting

Cited by 81 publications

References 21 publications

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Using Sab-Iomha for an Alpha Channel based Image Forgery Detection

Copy-move image forgery detection based on Gabor magnitude

Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka

Contact Info

Product

Resources

About