In this paper, two new full-reference metrics for image quality assessment are presented. They are based on the Peak-Signal-to-Noise Ratio (PSNR) and Universal Quality Index (UQI) modified to take into account the Human Visual System (HVS) properties. Many studies confirm that the HVS is more sensitive to low frequency distortions rather than to high frequency ones. It is also very sensitive to...

A new resource allocation scheme is proposed for video service over a Gaussian channel. For video quality rating, we introduce a suitable metric: the average peak signal-to-noise ratio (PSNR) or the average channel-induced PSNR degradation. Then, we model the end-to-end distortion considering the error propagation effect caused by motion compensation. On the basis of this model, we propose an e...

This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral Filter(MBF), Joint Bilateral Filter(JBF), Fuzzy Bilateral Filter(FBF) and Switching Bilateral Filter(SBF). For comparison purpose various performance matrices such as: Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE), Mean Absolute Error(MAE), Normalized Color Difference(NCD), Perceptual Qualit...

Visual cryptography is the techniques that deal with providing security to the multimedia data. The main concept behind this is, to encrypt a secret image into some shares. The secret can be revealed only when all the shares are combined. The central theme of visual cryptography is that it doesn’t require any manipulation or tough cryptographic knowledge and the decryption is done by human visi...

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 . Each set of vertices is rep...

Fractal image compression can be obtained by dividing the original grey level image into unoverlapped blocks depending on a threshold value and the well known techniques of Quadtree decomposition. By using threshold value of 0.2 and Huffman coding for encoding and decoding of the image these techniques have been applied for the compression of satellite imageries. The compression ratio (CR) and ...

A robust Adaptive Reconstruction Error Minimization Convolution Neural Network (ARemCNN) architecture introduced to provide high reconstruction quality from low resolution using parallel configuration. Our proposed model can easily train the bulky datasets such as YUV21 and Videoset4.Our experimental results shows that our model outperforms many existing techniques in terms of PSNR, SSIM and re...

A new simple, effective and generic method is presented that allows to increase the prediction accuracy of visual quality metrics. This method is based on the observation, that the correlation between subjective results and objective metrics is very high for one special sequence or image coded at several bit rates with the same codec. This can be used to decrease the absolute error between the ...

Two fast mode decision methods for intra prediction in H.264 are proposed in this work to reduce the encoder complexity. The first method, the so-called two-level fast Intra4x4 mode decision, is based on the idea of reducing possible candidate directions of a 4x4 luma block in Intra4x4 mode decision. The second method enables an early selection of suitable 4x4 or 16x16 luma partitions of a give...

Fractal coding has great potential, and wavelet coding is the most efficient way. In this paper, an embedded image compression based on fractal and wavelet is proposed. The lowest frequency subband of wavelet domain is coded by fractal first, and the coding error and other sub-bands are coded by Binary Tree Coding with Adaptive scanning order (BTCA). The lowest frequency sub-band has very high ...