In this paper a novel technique for Neighbor embedding single image super resolution (SR) is proposed. Given a low-resolution image, its highresolution image is reconstructed from a set of training images, which are composed of one or more lowresolution and corresponding high-resolution image pairs. In this paper we propose a new approach to a single image super-resolution through neighbor embe...

Recently, a novel reversible data hiding scheme is proposed for contrast enhancement by Wu (IEEE Signal Process Lett 22.1:81–85, 2015). Instead of pursuing the traditional high PSNR value, he designs the message embedding algorithm to enhance the contrast of the host image. In this paper, an extended scheme is proposed to not only adaptively enhance the contrast of the image, but also to keep t...

Compressing an image is significantly different than compressing raw binary data. Of course, general purpose compression programs can be used to compress images, but the result is less than optimal. The compression is achieved by many algorithms like Haar, EZW, JPEG2000 and SPIHT [4] and we can get some good results but more efficient algorithm is required which is necessary to improve the PSNR...

This paper presents the comparisons of the latest subjective video sequence quality assessment methods versus objective quality assessment using H.261, H.263+ and H.264 advanced video coding (AVC). A Simultaneous Double Stimulus for Continuous Evaluation (SDSCE) method was used for subjective quality assessment. The Peak Signal to Noise Ratio (PSNR) method and the-state-of-the art Structural SI...

In this study, a novel approach which uses combination of steganography and cryptography for hiding information into digital images as host media is proposed. In the process, secret data is first encrypted using the mono-alphabetic substitution cipher method and then the encrypted secret data is embedded inside an image using an algorithm which combines the random patterns based on Space Fillin...

Rician noise pollutes Magnetic Resonance Imaging (MRI) image and makes later work worse. In allusion to remove noise while lessen the loss of details as low as possible, this paper proposed an filter algorithm which comprehensive utilize Genetic Algorithm (GA), PDE and TV, based on 4th order Partial Differential Equations (PDE) and Total Variation (TV) theory. First, it calculates the Total Var...

Image restoration keeping sharp edges is achieved by bilateral filter. In this paper, an approach to improve edges for the filter is presented. The proposed algorithm relies on clustering by Expectation Maximization that produced clusters of intensive values. A stage is followed where standard deviation of Gaussian filters for scales of the spatial and intensity are adjusted by features of the ...

This paper focuses on developing effective and efficient algorithms for compressing scientific simulation data computed on structured and unstructured grids. A paradigm for lossy compression of this data is proposed in which the data computed on the grid is modeled as a graph, which gets decomposed into sets of vertices which satisfy a user defined error constraint ǫ. Each set of vertices is re...

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. The motivation for this work includes provision of protection of information during transmission without any detection of information. We also propose a new technique namely „A New Steganography Technique Based on Difference Scheme of RGB Channels and Text Using Histogram ...