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Institution

Dolby Laboratories

CompanyAmsterdam, Netherlands
About: Dolby Laboratories is a company organization based out in Amsterdam, Netherlands. It is known for research contribution in the topics: Audio signal & Audio signal flow. The organization has 956 authors who have published 1726 publications receiving 29456 citations.


Papers
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Patent
26 Jul 2010
TL;DR: The color gamut of display devices like digital projectors and digital displays is expanded by incorporating additional passband filters into the optical path of the devices to produce presentations of color components in two different color gamuts as discussed by the authors.
Abstract: The color gamut of display devices like digital projectors and digital displays is expanded by incorporating additional passband filters into the optical path of the devices to produce presentations of color components in two different color gamuts. The composite visual effect of the two presentations is a presentation in an expanded color gamut. Special considerations in the modulation of color components of the image can reduce variations in color and brightness, which can otherwise manifest themselves as flicker.

7 citations

Patent
05 Mar 2011
TL;DR: In this paper, an application descriptor identifies an application archive that is retrievable by the media presentation system from one or more sources and that is required by the presentation system at a set media time associated with the media data.
Abstract: Techniques for providing application tracks in a media data container are described An application descriptor may be extracted from a coded bitstream The coded bitstream comprises media data to be played by a media presentation system The application descriptor identifies an application archive (i) that is retrievable by the media presentation system from one or more sources and (ii) that is required by the media presentation system at a set media time associated with the media data While playing the media data, the media presentation system causes retrieving all of the application archive from the one or more sources before the set media time

7 citations

Proceedings ArticleDOI
01 Sep 2018
TL;DR: This paper presents initial work on formulating such a theoretical model, using a set of limited measurements in the reproduction region to enable the prediction of the loudspeaker's incident field away from the measurement points.
Abstract: Loudspeaker array design for spatial soundfield reproduction is a popular research topic with a plethora of past work and potential applications. In soundfiled theory, reproduction algorithms are often developed assuming arrays of ideal point sources. However in practice, the directional characteristics of commercial loudspeakers are far from that of ideal point sources. Therefore, in order to successfully realize existing theoretical solutions for soundfield reproduction, it is crucial to understand and model the incident response of commercial loudspeakers used in the reproduction system as observed over the target region of reproduction. In this paper, we present initial work on formulating such a theoretical model, using a set of limited measurements in the reproduction region. A successful model shall enable the prediction of the loudspeaker's incident field away from the measurement points. This feature of the model is validated using extra measurements away from the initial ones.

7 citations

Proceedings Article
04 Nov 2018
TL;DR: Compared with existing sparse representation models, the proposed JPG-SR provides a powerful mechanism to integrate the local sparsity and nonlocal self-similarity of images and outperforms several state-of-the-art methods in both objective and perceptual quality.
Abstract: Sparse representation has achieved great successes in various machine learning and image processing tasks. For image processing, typical patch-based sparse representation (PSR) models usually tend to generate undesirable visual artifacts, while group-based sparse representation (GSR) models produce over-smooth phenomena. In this paper, we propose a new sparse representation model, termed joint patch-group based sparse representation (JPG-SR). Compared with existing sparse representation models, the proposed JPG-SR provides a powerful mechanism to integrate the local sparsity and nonlocal self-similarity of images. We then apply the proposed JPG-SR model to a low-level vision problem, namely, image inpainting. To make the proposed scheme tractable and robust, an iterative algorithm based on the alternating direction method of multipliers (ADMM) framework is developed to solve the proposed JPG-SR model. Experimental results demonstrate that the proposed model is efficient and outperforms several state-of-the-art methods in both objective and perceptual quality.

7 citations

Patent
09 Oct 2009
TL;DR: In this paper, a look up table consisting of a plurality of input entries and first and second output entries for each input entry is used to compute the output of an input signal.
Abstract: Apparatus comprising an input connected to receive an input signal, a lookup table comprising a plurality of input entries and first and second output entries for each input entry. The look up table receives the input signal and returns a lower input entry, an upper input entry, the second output entry for the lower input entry, and the first output entry for the upper input entry. A first subtractor subtracts the lower input entry from the input signal to produce a first difference. A second subtractor subtracts the input signal from the upper input entry to produce a second difference. First and second multipliers multiply the first and second differences by the first output entry for the upper input entry and the second output entry for the lower input entry, respectively, to produce first and second products. An adder adds the first and second products to produce an output signal.

7 citations


Authors

Showing all 959 results

NameH-indexPapersCitations
Wolfgang Heidrich6431215854
Rabab K. Ward5654914364
Lorne A. Whitehead422326661
Scott J. Daly412305543
Michael E. Miller402255264
Alireza Marandi391406116
Wolfgang Stuerzlinger352305192
Lars Villemoes331802815
Joan Serrà311394046
Dong Tian311163621
Peng Yin301332454
Ning Xu281172705
Nicolas R. Tsingos281102749
Panos Nasiopoulos272713706
Zhibo Chen273443385
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20223
202126
202082
201989
201869