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The media industry is currently being pulled in the often-opposing directions of increased realism (high resolution, stereoscopic, large screen) and personalization (selection and control of content, availability on many devices). We investigate the feasibility of an end-to-end format-agnostic approach to support both these trends. In this paper, different(More)
This paper presents a new method for estimating a super-resolved version of an observed image by exploiting cross-scale self-similarity. We extend prior work on single-image super-resolution by introducing an adaptive selection of the best fitting upscaling and analysis filters for example learning. This selection is based on local error measurements(More)
This article presents a new method for estimating the latent noiseless version of an observed image corrupted by additive noise. This method stems from classical models in parametric denoising and extends them by modeling the likelihood term, estimating adaptive image priors and automatically choosing an adaptive equivalent to the typically hand-tuned(More)
Real camera systems have a limited depth of field (DOF) which may cause an image to be degraded due to visible misfocus or too shallow DOF. In this paper, we present a blind deblurring pipeline able to restore such images by slightly extending their DOF and recovering sharpness in regions slightly out of focus. To address this severely ill-posed problem,(More)
We present a noise-aware single-image super-resolution (SI-SR) algorithm, which automatically cancels additive noise while adding detail learned from lower-resolution scales. In contrast with most SI-SR techniques, we do not assume the input image to be a clean source of examples. Instead, we adapt the recent and efficient in-place cross-scale(More)
We demonstrate the Production Scripting Engine (PSE), a Virtual Director software automatically selecting, framing and cutting camera shots as part of an interactive live broadcast production system. It reasons for multiple viewers with different devices and preferences in parallel within real-time constraints. The PSE takes individual parameters into(More)
This paper presents a variational framework for obtaining super-resolved video-sequences, based on the observation that reconstruction-based Super-Resolution (SR) algorithms are limited by two factors: registration exactitude and Point Spread Function (PSF) estimation accuracy. To minimize the impact of the first limiting factor, a small-scale linear(More)
The demonstration described hereafter covers technical work carried out in the FascinatE project [1], related to the interactive retrieval and rendering of high-resolution panoramic scenes. The scenes have been captured by a special panoramic camera (the OMNICAM) [2] with is capturing high resolution video featuring a wide angle (180 degrees) field of view.(More)
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