This study aims to remove blocking distortions in compressed moving pictures. We propose to apply subband transform (ST) and an edge adaptive deblocking filter to remove the blocking distortions caused by transforms and the block motion compensated prediction in moving picture coding, respectively. We evaluate coding efficiency and distortion level experimentally by PSNR value and subjectively ...

Network security is an important issue, and encryption is one of the way to ensure security in the digital world. Image security becomes important because of their frequency of use over internet. There exist many different image encryption techniques each has their own advantage and disadvantage. In this proposed method we first encrypt the image using Genetic algorithm and then by using our ne...

In this paper, a cost effective block truncation coding (CE-BTC) using low cost approach is presented for color image compression. To reduce the bit rate of the basic BTC, selected single bit-map is employed to represent the edge information of the coding block in the proposed CE-BTC. Moreover, a previous proposed algorithm, adaptive quantization coding (AQC), is used to compress the two repres...

The most of the previous lossless data hiding techniques are that secret data are embedded into cover image. So, the relationship between the embedding capacity and PSNR of these techniques is always an inverse proportion. In contrast, the embedded position information of secret data are embedded into a location map in the proposed technique in order to achieve thedirectly proportional relation...

In this paper, we propose a new video quality measurement method which is based on several degradation factors. The proposed method assumes that reference videos are available. In the proposed algorithm, the VQM (Video Quality Metric) is calculated as a weighted sum of seven features which represent sources of various video degradations. In particular, the degradation factors include PSNR in th...

— In recent years, there is a spurt of publications on Information Theory based Image Compression Techniques. Specific regional characteristics of the images are associated with Information clusters. In this paper a novel approach of information theory based Minimum Relative Entropy (MRE) and Entropy methods for image compression are discussed. A two stage compression process is performed throu...

Image Processing is a structure of Signal Processing for which the input is the image and the output is also an image or parameter of the image. Image Resolution has been frequently referred as an important aspect of an image. In Image Resolution Enhancement, images are being processed in order to obtain more enhanced resolution. To generate highly resoluted image for a low resoluted input imag...

Digital image compression is a technique that allows to reduce the size of an image in order to increase the capacity storage devices and to optimize the use of network bandwidth. The quality of compressed images with the techniques based on the discrete cosine transform or the wavelet transform is generally measured with PSNR or SSIM. Theses metrics are not suitable to images compressed with t...

This paper proposes an objective video quality-metrics method based on a reduced-reference model for measuring end-user video quality in video applications such as IPTV. It chooses a representative-luminance value for each original video frame and transmits that value, along with information regarding the positions of all pixels having that value, to end-user terminals. End-user PSNR is estimat...

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