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Single-image super-resolution (SR) is the problem of generating a single high resolution (HR) image, given one low resolution (LR) image as input. In this paper we propose a low-complexity and yet efficient algorithm that reconstruct the HR image in one pass (instead, e.g. of 7 passes for a magnification factor of 4 in [3]). The proposed algorithm falls(More)
This paper addresses the problem of optimal minimum mean-squared error reconstruction of quantised samples in Wyner-Ziv video coding systems. Closed-form expressions of the optimal reconstructed values are derived for a Laplacian correlation model. The method is used for both single and multiple side information scenarios (the latter is also referred to as(More)
A multiple description scalar quantization (MDSQ) based coding system can be regarded as a source coder (quantizer) followed by a channel coder, i.e. the combination of index and codeword assignment. The redundancy, or the correlation between the descriptions, is controlled by the number of diagonals covered by the index assignment. We consider here the(More)
We analyze the dependencies between the variables involved in the source and channel coding chain. This analysis is carried out in the framework of Bayesian networks, which provide both an intuitive representation for the global model of the coding chain, and a way of deriving joint (soft) decoding algorithms. Three sources of dependencies are involved in(More)
This paper describes a depth-based inpainting algorithm which efficiently handles disocclusion occurring on virtual viewpoint rendering. A single reference view and a set of depth maps are used in the proposed approach. The method not only deals with small disocclusion filling related to small camera base-line, but also manages to fill in larger(More)
This paper describes two new intraimage prediction methods based on two data dimensionality reduction methods: nonnegative matrix factorization (NMF) and locally linear embedding. These two methods aim at approximating a block to be predicted in the image as a linear combination of <i>k</i>-nearest neighbors determined on the known pixels in a causal(More)
In intra mode, a prediction block is formed by extrapolating pixels neighbouring the current block to be coded. It is then subtracted from the current block prior encoding the resulting residual. When blocks have regular textures, this method is efficient. However, predicting blocks with more complex textures in this way is less adapted. This contribution(More)