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Fast and robust copy-move forgery detection using wavelet transforms and SURF
المؤلفون المشاركون
Keskar, Avinash
Hashimi, Muhammad
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 16، العدد 2 (31 مارس/آذار 2019)، ص ص. 304-311، 8ص.
الناشر
تاريخ النشر
2019-03-31
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Most of the images today are stored in digital format.
With the advent of digital imagery, tampering of images became easy.
The problem has become altogether intensified due to the availability of image tampering softwares.
Moreover there exist cameras with different resolutions and encoding techniques.
Detecting forgery in such cases becomes a challenging task.
Furthermore, the forged image may be compressed or resized which further complicates the problem.
This article focuses on blind detection of copy-move forgery using a combination of an invariant feature transform and a wavelet transform.
The feature transform employed is Speeded Up Robust Features (SURF) and the wavelet transforms employed are Discrete Wavelet Transform (DWT) and Dyadic Wavelet Transform (DyWT).
A comparison between the performances of the two wavelet transforms is presented.
The proposed algorithms are different from the previously proposed methods in a way that they are applied on the whole image, rather than after dividing the image in to blocks.
A comparative study between the proposed algorithm and the previous block-based methods is presented.
From the results obtained, we conclude that these algorithms perform better than their counterparts in terms of accuracy, computational complexity and robustness to various attacks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hashimi, Muhammad& Keskar, Avinash. 2019. Fast and robust copy-move forgery detection using wavelet transforms and SURF. The International Arab Journal of Information Technology،Vol. 16, no. 2, pp.304-311.
https://search.emarefa.net/detail/BIM-854851
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hashimi, Muhammad& Keskar, Avinash. Fast and robust copy-move forgery detection using wavelet transforms and SURF. The International Arab Journal of Information Technology Vol. 16, no. 2 (Mar. 2019), pp.304-311.
https://search.emarefa.net/detail/BIM-854851
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hashimi, Muhammad& Keskar, Avinash. Fast and robust copy-move forgery detection using wavelet transforms and SURF. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 2, pp.304-311.
https://search.emarefa.net/detail/BIM-854851
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 310-311
رقم السجل
BIM-854851
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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