DETEKSI PEMALSUAN CITRA COPY MOVE MENGGUNAKAN DYADIC WAVELET DAN SCALE INVARIANT FEATURE TRANSFORM
نویسندگان
چکیده
منابع مشابه
Detection of Copy-Move Forgery in Digital Images Using Scale Invariant Feature Transform Algorithm and the Spearman Relationship
Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights. Copy-move forgery is the most common type of manipulation of digital images. Copy-move forgery is used to hide an area of the image or to repeat a por...
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Copy-Move is one of the most common technique for digital image tampering or forgery. Copy-Move in an image might be done to duplicate something or to hide an undesirable region. In some cases where these images are used for important purposes such as evidence in court of law, it is important to verify their authenticity. In this paper the authors propose a novel method to detect single region ...
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Image manipulation is not a new trend and it exists from the time when photography was innovated. In the recent years, many forgery detection methods and techniques are proposed. Photo image forgery may include Copy-Move Forgery or Cloning and Copy-Create Image Forgery. There are few methods for forgery detection. Though many image forgery detections previously exist, with the change in algorit...
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Discrete non-redundant wavelet transforms have been successfully applied previously in image compression applications [2], [6], [17]. However, the lack of translation invariance and aliasing present after the decomposition stage [3] may introduce undesirable artifacts for the analysis of medical signals and images, and can justify the use of a redundant wavelet representation. The discrete dyad...
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ژورنال
عنوان ژورنال: Pseudocode
سال: 2017
ISSN: 2655-1845,2355-5920
DOI: 10.33369/pseudocode.4.1.18-28