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...

An extension to the JPEG standard (ISO/IEC DIS 10918-3) allows spatial adaptive coding of still images. As with baseline JPEG coding, one quantization matrix applies to an entire image channel, but in addition the user may specify a multiplier for each 8x8 block, which multiplies the quantization matrix, yielding the new matrix for that block. WEG 1 and 2 use much the same scheme, except there ...

This paper studies quantization error in the context of Matching Pursuit coded streams and proposes a new coefficient quantization scheme taking benefit of the Matching Pursuit properties. The coefficients energy in Matching Pursuit indeed decreases with the iteration number, and the decay rate can be upper-bounded with an exponential curve driven by the redundancy of the dictionary. The redund...

A novel approach to image compression using vector quantization of linear (one-step) prediction errors is presented in this paper. In order to minin,ize the image reconstruction error, we choose the optimum predictor coefficients (in a least-squares sense) that satisfy the additional constraint that the energy of the impulse response function of the inverse reconstruction filter is bounded by a...

Abstract A K-user direct-sequence spread-spectrum code-division multiple-access (CDMA) system with (q log2 K)-bit baseband signal quantization at the demodulator is considered. It is shown that additionally quantizing the K + 1 level output signal of the CDMA modulator into q bits improves significantly the average bit-error performance in a non-negligible regime of noise variance, σ 2, and use...

8 In this paper, we study the error of a second order finite difference scheme for the one-dimensional 9 convection-diffusion equation. We consider non-smooth initial conditions commonly encountered in 10 financial pricing applications. For these initial conditions, we establish the explicit expression of the 11 quantization error, which is loosely defined as the error of the numerical solution...

The vectocardiography (VCG) is the methodological extension of electrocardiography (ECG) that allows three-dimensional imaging of the cardiac electrical field. For the lack of the sufficient technological support it was underestimated for years, and currently comes back to the clinical practice thanks to the use of numerically performed spatial transforms. The VCG signal is usually acquired wit...

The ability to obtain the accurate three-dimensional position information in the presence of limited sensor resolution is a crucial task in computer vision and other triangulation systems. Sensors for computer processing applications produce sampled quantized data, whose spatial resolution is determined by limits in device technology and bandwidth. In computer vision and photogrammetry, normall...

The Discrete Wavelet Transform (DWT) decomposes an image into bands that vary in spatial frequency and orientation. It is widely used for image compression. Measures of the visibility of DWT quantization errors are required to achieve optimal compression. Uniform quantization of a single band of coefficients results in an artifact that is the sum of a lattice of random amplitude basis functions...

Clustering analysis often employs unsupervised learning techniques originally developed for vector quantization. In this framework, a frequent goal of clustering systems is to minimize the quantization error, which is aaected by many local minima. To avoid connnement of reference vectors to local minima of the quantization error and to avoid formation of dead units, hard c-means clustering algo...