[PDF] Top 20 A Robust Method to Detect Hidden Data from Digital Images
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A Robust Method to Detect Hidden Data from Digital Images
... in images. In this paper , we apply VPD method on deferent types of secret images to extract the hidden ...secret data that has been hidden by deferent ...general method ... See full document
5
Audio Steganography by Different Methods
... spreads hidden signal data through the frequency ...the data signal. Basically, Data is multiplied by an M-sequence code known to sender and receiver [6], then embedded in the cover ... See full document
5
A Novel Technique to Detect Local Features in Digital Images
... and robust in keypoint detection as compare to both BRISK and ...FREAK method is applied, a single line code for FREAK is yet not available in MATLAB for FREAK as for BRISK and SURF is ... See full document
6
A Robust Deep Learning Approachto Detect Nuclei in Histopathological Images
... histopathology images is challenging due to large variations in size, density, and batch ...sets from the data automatically, not requiring the design of feature extractors by ...mapping from ... See full document
7
A Robust Method for Integrity Protection of Digital Data in Text Document Watermarking
... Digital watermarking provides authentication, validation and copyright protection for multimedia contents over the internet. Text is the most widely used means of communication in addition to images, audio ... See full document
5
An Enhanced Method to Detect Copy Move Forgery in Digital Images processing using 2D DWT Approach
... under digital image ...o detect the multiple copies of The same region and differe nt ...point-based method is used. I n key point-based Method, SURF (Speeded Up Robust Feat ures) ... See full document
6
MAFA: Multispectral Adaptive Fuzzy Algorithm for Edge Detection on MRI of Head Scan
... based method that is used to solve complex problems is called Fuzzy Systems [1] [3] [5] ...to detect edge of digital images where MRI characteristics will be the prior knowledge for applying ... See full document
6
Noise Variance Estimation To Detect Forgery In Digital Images
... A.E. Dirik and N. Memon [8] proposed a detection method which was applicable to various operations like splicing, retouching, recompression, resizing, blurring etc. But it did not target any specific operation. ... See full document
6
A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images
... detection method based on deep learning was able to detect idiopathic pulmonary fibrosis with similar accuracy to a human ...CT images into 4 radiological diagnostic ...that detect more ... See full document
17
A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images
... scan digital images. To input adopting CT images of the chest to the DCNN, we enriched the medical chest CT images using classical data augmentation and CGAN to generate more CT ...that ... See full document
17
Ant Colony Optimization Technique is used to detect the Forgery in Digital Images
... of digital image ...the hidden data is small in ...for images; video files have several outstanding features for data hiding like large capacity and good ... See full document
7
Robust Digital Watermarking for Anaglyph 3D Images by Using DWT
... information. Digital watermarking is generally considered as a copyright protection ...technique. Digital Data is available in World Wide Web in the form of Images, Audio and video in large ... See full document
11
An Efficient Image Steganography for Message Security
... even detect that there is a second message ...the data in JPEGs. One popular technique is, by hiding data into the digital ...this method the data is hidden into ... See full document
10
Real - Time Hybrid Contourlet, DCT & SVD Algorithms for Digital Image watermarking, Geometric Applications and Noise Addition
... science, Digital signal processing and ...of data copyright, content protection and ownership proof. Digital watermarking is technically the process of inserting pieces of information into ... See full document
10
Recognizing the presence of hidden visual markers in digital images
... samples from the minority class and aug- ments the original dataset, whereas the latter achieves a balanced distribution by randomly removing samples from the majority ...replicated data to the orig- ... See full document
9
A Method to Extract the Spread Spectrum Hidden Data from Digital Media
... The Likert scale is relatively easy to construct compare to other scales. The process is to collect the large number of statements that meet two criteria: (1) each statement is believed to be relevant to the attitude ... See full document
14
Object Shape Storage and Retrieval – A Literature Survey
... Support Vector Machine is a group of supervised learning method which can be applied for classification and regression. There are some kernel based techniques namely Bayes Point Machine, Kernel principal component ... See full document
5
Outlier Detection Based on Robust Mahalanobis Distance and Its Application
... common method for detecting outliers. However, it is a method based on sample mean vector and sample covariance ...proposed robust estimation methods for mean vector and covariance ma- trix, such as ... See full document
12
An automatic method to detect and track the glottal gap from high speed videoendoscopic images
... In this work, the experimental evaluation followed consists on evaluating the similarity between two manual segmentations carried out by two different experts Exp1 and Exp2, the segmentation obtained with the algorithm ... See full document
29
Review of Effective Video Compression Techniques
... The video compression system consist of video encoder at transmitter side, which encodes the video to be transmitted in form of bits and the video decoder at the receiver side which reconstructs the video in its original ... See full document
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