This paper is presenting a betterment steganographic method for covert channel communication. Two distinct methods are combined to achieve possibly high data hiding capability with high visual quality. The proposed method shifts the last n nonzero AC coefficients from S JPEG block, and changes the magnitude values of the first n nonzero AC coefficients from T JPEG blocks. S and T blocks are det...

Abstract Histogram Equalization (HE) is one of the most popular techniques for this purpose. Most histogram equalization techniques, including Contrast Limited Adaptive (CLAHE) and Local Modification CLAHE (LCM CLAHE), use a fixed block size technique feature enhancement. Due to this, all these state art are used give poor denoising performance after In paper, deep learning based new approach, ...

Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...

Data hiding is the technique of embedding data in an image and retrieval of the data with lossless reconstruction of original im age. In this paper, we present data hiding scheme based on histogram modification.This technique is based on differences of adjacent pixels for embedding data and has more hiding capacity compared to existing methods.We exploit a binary tree structure to solve the pro...

The histogram equalization (HE) method is widely used for image contrast enhancement. While it can enhance the overall contrast, the inherent dependence of its transformation function on the global content of the image limits its ability to enhance local details at the same time. Furthermore, using the method to reform the image histogram into a uniform one usually results in a significant chan...

In audio watermarking, the robustness to desynchronization attacks such as TSM (Time-Scale Modification) operations, is still an open issue. In this paper, both mathematical proof and experimental testing show that the histogram shape (represented as the relative relation in the number of samples among three different histogram bins) and the audio mean are two robust features to the TSM attacks...

Histogram equalization (HE) is a classic and widely used image contrast enhancement algorithm for its good performance high efficiency. However, over-enhancement caused by peak in the histogram affects subjective quality of processed HE to large extent. In this paper, detail weighted (DWHE) method proposed based on novel modification (HM) model named partial statistic global mapping (PSGM) alle...

We present a mathematical analysis of the Wang-Landau algorithm, prove its convergence, and identify sources of errors and strategies for optimization. In particular, we found the histogram increases uniformly with small fluctuations after a stage of initial accumulation, and the statistical error is found to scale as square root of (ln f) with the modification factor f . This has implications ...