The pixel-value differencing (PVD) steganography can embed a large amount of secret bits into a still image with high imperceptibility as it makes use of the characteristics of human vision sensitivity. However, a loophole exists in the PVD method. Unusual steps in the histogram of pixel differences reveal the presence of a secret message. An analyst can even estimate the length of hidden bits ...

In the past few years, with development of information technology and focus on security, many studies have gradually been aimed at data hiding technology. The embedding extraction algorithms are mainly used by to hide that requires secret transmission into a multimedia carrier so cannot be realized achieve secure communication. Among them, reversible (RDH) is for applications demand as well ori...

Steganography is used to hide a secret message within a cover image, thereby yielding a stegoimage such that even the trace of the presence of secret information is wiped out. This project proposes a novel prediction based reversible steganographic scheme based on image Inpainting. First, reference pixels are chosen by using Particle Swarm Optimization technique. Then, In order to generate a pr...

Reversible data hiding embeds information in a host media in a visually plausible way such that both the embedded message and the original host media can be exactly recovered. In this paper we present a new reversible data hiding framework based on prediction error histogram modification. This framework is general and flexible that includes some of the state-of-the-art methods as special cases....

This paper proposes an algorithm that can improve performance by searching for tone mapping optimized for three types of images through image analysis while maintaining a tone mapping shape based on human visual characteristics. The algorithm uses the optimized Retinex-based color restoration technique by analyzing three types of images based on luminance: highand low-luminance images and image...

Contrast enhancement is an important factor in the image preprocessing step. One of the widely accepted contrast enhancement method is the histogram equalization. Although histogram equalization achieves comparatively better performance on almost all types of image, global histogram equalization sometimes produces excessive visual deterioration. A new extension of bi-histogram equalization call...

Base class for Contrast Limited Adaptive Histogram Equalization. Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram. Hello all. I would like to implement an extension of the well-known CLAHE histogram equalization method in Matlab. Currently, Matlab provides routines. Adaptive Histogram Equalization. Contrast Limited Adaptive Histogram Equalization. Histogram...

We present PRISMA’s Video Copy Detection system (P-VCD). The system is based on visual-only global descriptors, weighted combinations of distances, a pivotbased index structure, and a novel approximated search and voting algorithm for copy localization. We submitted four Runs to TRECVID 2010 CCD task: PRISMA.m.balanced.ehdNgryhst: a combination of edge histogram and gray histogram. PRISMA.m.bal...

Histogram equalization is a nonlinear technique for adjusting the contrast of an image using its histogram. It increases the brightness of a gray scale image which is different from the mean brightness of the original image. There are various types of Histogram equalization techniques like Histogram Equalization, Contrast Limited Adaptive Histogram Equalization, Brightness Preserving Bi Histogr...