Abstract--In this paper, we derive bounds on the structural similarity (SSIM) index as a function of quantization rate for fixed-rate uniform quantization of image discrete cosine ...
Sumohana S. Channappayya, Alan C. Bovik, Robert W....
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
Abstract--In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and c...
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...
Abstract. This paper addresses the problem of super resolution - obtaining a single high-resolution image given a set of low resolution images which are related by small displaceme...
Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subh...