The EM (expectation-maximization) algorithm is a broadly applicable method for calculating maximum likelihood estimates given incomplete data [1]. EM algorithms have received considerable attention due to their computation feasibility in tomographic image reconstruction [2~4], symbol detection [5] and parameter estimation [6]. However, it is less recognized that EM algorithms can be equally app...

A flexible and effective macroblock-based framework for hybrid spatial and fine-grain SNR scalable video coding is proposed in this paper. In the proposed framework, the base layer is of low resolution and is generally encoded at low bit rates with traditional prediction based coding schemes. Two enhancement layers, i.e., the low-resolution enhancement layer and the high-resolution enhancement ...

We describe progress in the first year of the EMRS DTC TEP theme project entitled “Temporal Resolution Enhancement from Motion”. The aim is to develop algorithms that combine evidence over time from a sequence of images in order to improve spatial resolution and reduce artefacts. A C++ implementation of an initial algorithm has been developed, allowing assessment of the new algorithm against a ...

We consider the problem of enhancing the resolution of video through the addition of perceptually plausible high frequency information. Our approach is based on a learned data set of image patches capturing the relationship between the middle and high spatial frequency bands of natural images. By introducing an appropriate prior distribution over such patches we can ensure consistency of static...