Pixel-Wise Tamper Detection Under Generic Blur/Sharpen Attacks
نویسندگان
چکیده
منابع مشابه
Pixel-Wise Tamper Detection Under Generic Blur/Sharpen Attacks
In this paper robust image authentication integrated with semi-fragile pixel-wise tamper localization is analyzed. A new pixel-wise transformation robust to blurring/sharpening while fragile to all other image processing operations is proposed. A new method featuring binary and percentage measures with novel ability to integrate human opinion for image authenticity evaluation is presented. Prot...
متن کاملAlgorithmic Tamper-Proof Security under Probing Attacks
Gennaro et al. initiated the study of algorithmic tamper proof (ATP) cryptography: cryptographic hardware that remains secure even in the presence of an adversary who can tamper with the memory content of a hardware device. In this paper, we solve an open problem stated in their paper, and also consider whether a device can be secured against an adversary who can both tamper with its memory and...
متن کاملPixel-wise Deep Learning for Contour Detection
We address the problem of contour detection via per-pixel classifications of edge point. To facilitate the process, the proposed approach leverages with DenseNet, an efficient implementation of multiscale convolutional neural networks (CNNs), to extract an informative feature vector for each pixel and uses an SVM classifier to accomplish contour detection. In the experiment of contour detection...
متن کاملDigital Watermarking for Image Tamper Detection using Block-Wise Technique
Fragile watermarking has the characteristics where the inserted watermark should be easily breakable for a trivial tampering of the image. So, fragile watermarking technique is proposed for the purpose of authentication or tamper detection. In this paper, we propose an efficient image tamper detection method using block-wise technique which is able to detect the tamper locations. In the propose...
متن کاملPixel-wise object tracking
In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segmentation model. The global model generates a region of interests (ROI) that the object may lie in the new frame based on the past object segmentation maps; while the local model ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Informatica
سال: 2012
ISSN: 0868-4952,1822-8844
DOI: 10.15388/informatica.2012.372