Contrast Enhancement-Based Forensics in Digital Images

Cao, Gang; Zhao, Yao; Ni, Rongrong; Li, Xuelong

doi:10.1109/tifs.2014.2300937

Cited by 224 publications

(136 citation statements)

References 24 publications

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“…false positive rate, FP ). Mathematically [15,16], In this paper, also used some dataset for the result analysis the MICC-600 this dataset is composed by 600 high resolution images containing realistic and challenging copy-move attacks; 160 are tampered images and 440 are originals. …”

Section: Resultsmentioning

confidence: 99%

Digital Image Forgery Detection based on Texture Feature and Clustering Technique

Ujjainiya¹,

Chugh²

2016

IJCA

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The image forgery detection is important tools in digital multi-media analysis. Now a day's digital multi-media faced a problem of copy paste and tampering by different multi-media authoring tools. The tampered and copy paste image change the actual scenario of original image and its illegal process in current scenario of multi-media. For the detection of image forgery various pixel and transform based method are applied. The applied method is better in some detection and estimation, but faced a certain limitation. In this paper proposed texture based image forgery detection. The texture based image forgery detection is very efficient in terms of detection ratio. For the extraction of texture feature used discrete wavelet transform function. For the generation of block used partition clustering technique. the partition clustering technique creates the block of original and forged image. The proposed algorithm is simulated in MATLAB software and used very famous dataset MFIC2000.

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Section: Resultsmentioning

confidence: 99%

Digital Image Forgery Detection based on Texture Feature and Clustering Technique

Ujjainiya¹,

Chugh²

2016

IJCA

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“…The technique is also followed by expectation maximization approach. Cao et al [42] have presented a technique that performs detected of the forged image based on the contrastive factor of a corrupt JPEG image. A clustering technique is applied for identified blocks being manipulated for evaluating its respective consistency.…”

Section: Existing Techniquesmentioning

confidence: 99%

Reviewing the Effectivity Factor in Existing Techniques of Image Forensics

Shashidhar

Ramesh²

2017

IJECE

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Studies towards image forensics are about a decade old and various forms of research techniques have been presented till date towards image forgery detection. Majority of the existing techniques deals with identification of tampered regions using different forms of research methodologies. However, it is still an open-end question about the effectiveness of existing image forgery detection techniques as there is no reported benchmarked outcome till date about it. Therefore, the present manuscript discusses about the most frequently addressed image attacks e.g. image splicing and copy-move attack and elaborates the existing techniques presented by research community to resist it. The paper also contributes to explore the direction of present research trend with respect to tool adoption, database adoption, and technique adoption, and frequently used attack scenario. Finally, significant open research gap are explored after reviewing effectiveness of existing techniques.

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“…Two novel algorithms were developed in [15] to detect the contrast enhancement involved manipulations in digital images. It focuses on the detection of global contrast enhancement applied to JPEG-compressed images.…”

Section: Image Retouchingmentioning

confidence: 99%