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This paper proposes a steganalysis scheme using the difference histogram and image calibration. The message embedding makes the correlation with the neighboring pixels weaken and the random changes of the pixel values generate the block effects among the pixels. The proposed method crops a suspicious image by 1 pixel in a row or column direction and compares the difference histograms. Two distance...
In scene categorization, one single histogram based on the sole universal codebook is used to characterize an image in most state-of-the-art scene categorization methods, which is lack of enough discriminative ability to separate the images among different categories and results in low classification accuracy. In order to solve the problem, in this paper, we propose a novel scene categorization approach...
Many JPEG steganography techniques are used to communicate secret messages by terrorists that threaten the security of a nation. So steganalysis is very important. Avcibas proposed a steganalysis based on binary similarity measures which only work well on LSB-based steganography and derived features from the spatial domain of images. This paper proposes a novel usage of binary similarity measures...
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG compressed images. Firstly, difference JPEG 2D arrays, i.e., the difference between the magnitude of JPEG coefficient 2D array of a given JPEG image and its shifted versions along various directions, are used to enhance double...
This paper proposes a novel face representation approach, local Gabor binary mapping pattern (LGBMP), for multi-view gender classification. In this approach, a face image is first represented as a series of Gabor magnitude pictures (GMP) by applying multi-scale and multi-orientation Gabor filters. Each GMP is then encoded as a LGBP image where a uniform local binary pattern (LBP) operator is used...
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