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An increasing number of images in the Internet brings forward a higher requirement on the speed of steganalysis. For the problem of real-time detection of stego images, a rapid images steganalysis method based on identifiable features is proposed, where the identifiable features are specific character sequences left in stego images by steganography tools. The stego and cover images are distinguished...
An increasing number of images in the Internet brings forward a higher requirement on the speed of steganalysis. For the problem of real-time detection of stego images, a method of images steganalysis rapidly based on identifiable features is proposed, where the identifiable features are specific character sequences left in stego images by steganography tools. According to finding whether an image...
The autoregressive (AR) model has been widely used in signal processing for its effective estimation, especially in image processing. Many dedicated $2\times $ interpolation algorithms adopt the AR model to describe the strong correlation between low-resolution (LR) pixels and high-resolution (HR) pixels. However, these AR model-based methods closely depend on the fixed relative position between...
In this paper, we present a novel method for Super Resolution (SR) reconstruction with rotation invariance and search window relocation. To combine complementary information in observed images to generate a higher resolution image, we first relocate search window to involve potential similar patches and then use rotation invariance similarity measure to find accurate similar patches. Comparing with...
Sparsity-based super-resolution has attracted lots of attention. Due to the high dimensionality of image data, sparsity-based methods are often in a patch-wise manner and simply impose the smoothness constraints on the overlapped regions between reconstructed patches. However, the imposed smoothness constraint is commonly weak to regularize super-resolution problem when the observed low-resolution...
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