Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 5, May 2015
Digital Image Forgery Detection with Motion Blur as Cue: A Survey
Pornima M. Birajdar, N.G. Dharashive
The extensive availability of sophisticated image editing tools has rendered it relatively easy to produce fake images for malicious purposes in various fields. Image splicing is one of the forms of image forgery and Image splicing detection has been considered as the most challenging problem in passive image authentication. Image forgery affects the characteristics of images such as blurriness, sharpness, noise etc. Introduction of artificial blur while image splicing is very common practice used to reduce degree of discontinuity to hide splicing effects. Using blur estimation blur consistency pattern of an image can be found. Blur factor can be used to detect any splicing possibilities in the image to decide whether it is authentic or forged. The survey covers various image forgery detection techniques with blur as cue.
Keywords: Image forgery, Blur, Motion blur estimation, Splicing detection
Edition: Volume 4 Issue 5, May 2015
Pages: 1271 - 1274
How to Cite this Article?
Pornima M. Birajdar, N.G. Dharashive, "Digital Image Forgery Detection with Motion Blur as Cue: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=SUB154496, Volume 4 Issue 5, May 2015, 1271 - 1274
105 PDF Views | 79 PDF Downloads
Similar Articles with Keyword 'Image forgery'
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 1271 - 1274Digital Image Forgery Detection with Motion Blur as Cue: A Survey
Pornima M. Birajdar, N.G. Dharashive
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 1273 - 1278Image Forgery Localization via CFA Based Feature Extraction and Poisson Matting
Priyanka Prasad
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015
Pages: 1800 - 1802Contrast Enhancement Based Image Manipulation Detection
Anju Gopinath
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014
Pages: 1404 - 1408A Joint Forensic System to Detect Image Forgery using Copy Move Forgery Detection and Double JPEG Compression Approaches
Dhara Anandpara, Rohit Srivastava
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015
Pages: 163 - 165Survey Paper on Advanced Techniques for Image Forgery Detection
Amruta Jagtap, H. A. Hingoliwala
Similar Articles with Keyword 'Blur'
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014
Pages: 2357 - 2361An Efficient Coin Recognition Technique using Rotational Invariance Approach
Nikita N Shelgikar, Prof. L. M. R. J Lobo
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 1271 - 1274Digital Image Forgery Detection with Motion Blur as Cue: A Survey
Pornima M. Birajdar, N.G. Dharashive
Survey Paper, Computer Science & Engineering, India, Volume 6 Issue 4, April 2017
Pages: 1517 - 1519Survey on Various Image Deblurring Technique
Husna K, Harish Binu K P
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 3195 - 3198Centralized Sparse Representation Non-locally For Image Restoration
More Manisha Sarjerao, Prof. Shivale Nitin
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 2002 - 2005A Survey on Barcode Generation and Modulation Techniques
Vidyashree Kokane, Shyam Gupta