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  1. Many scientific applications require that image data be stored in floating-point format due to the large dynamic range of the data. These applications pose a problem if the data needs to be compressed since mo...

    Authors: BryanE Usevitch
    Citation: EURASIP Journal on Image and Video Processing 2007 2007:085385
  2. Acquiring 3D data of human face is a general problem which can be applied in face recognition, virtual reality, and many other applications. It can be solved using stereovision. This technique consists in acqu...

    Authors: Johel Mitéran, Jean-Philippe Zimmer, Michel Paindavoine and Julien Dubois
    Citation: EURASIP Journal on Image and Video Processing 2007 2007:081387
  3. We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes. Feat...

    Authors: Mari Partio, Bogdan Cramariuc and Moncef Gabbouj
    Citation: EURASIP Journal on Image and Video Processing 2007 2007:017358
  4. We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to be suitable for wireless sensor networks. It is based on wavelet image transform and semireliable tra...

    Authors: Vincent Lecuire, Cristian Duran-Faundez and Nicolas Krommenacker
    Citation: EURASIP Journal on Image and Video Processing 2007 2007:047345

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EURASIP Best paper awards 2021

We are pleased to announce that the following paper published in EURASIP Journal on Image and Video Processing has been awarded a EURASIP best paper award!


Research

DIBR synthesized image quality assessment based on morphological multiscale approach
Dragana Sandić-Stanković, Dragan Kukolj, and Patrick Le Callet

The award ceremony will take place at the upcoming virtual edition of EUSIPCO to be held in August 2021. For more information see the EURASIP newsletter.