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JPEG compression and resampling operations appear frequently when image is tampered, hence the traces of JPEG compression and resampling are used to detect images. As JPEG compression and resampling operations affect the linear correlation between coefficients, so the traces of JPEG compression and the linear correlation are introduced when images are resampled and saved in JPEG format. Hence, the...
This paper presents results of multi-classification and cross-validation of tested steganalysis method in static images in JPEG format. Steganalysis methods are used for revealing a secret communication conducted by different steganographic tools. The steganalysis algorithm analyzes changes in statistical parameters of the images using Feature Based Steganalysis. The multi-classification is ability...
In automatic image annotation, it is often extracting low-level visual features from original image for the purpose of mapping to high level image semantic information. In this paper, we propose a novel method which integrates kernel independent component analysis (KICA) and support vector machine (SVM) for analyzing the semantic information of natural images. KICA, which contains a nonlinear kernel...
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...
A simple yet effective tactic for secure steganography is proposed in this paper that can resist the blind steganalysis. In this method author derives a matrix based on the image content and thus providing the security. This matrix is used by quantization index modulation (QIM) based encoder and decoder. The embedding location of data is also randomized so as to immobilize the self calibration process...
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