Group on Interactive Coding of Images (GICI)

The Group on Interactive Coding of Images (GICI) focuses on the study, design and implementation of image coding and transmission techniques and standards.

GICI collaborates with other national and international research groups and is open to new collaborations with other researchers. Students can also do their Master and Ph.D. theses with us.

GICI belongs to the Department of Information and Communications Engineering (DEIC) at the Universitat Autònoma de Barcelona (UAB). Our research

The GICI group continuously struggles to push the state of the art of image coding and transmission. As a result, research papers and software tools are published. The main lines of research that are currently being developed are the following:

Estadístiques d'ús Els més consultats
Darreres entrades:
2019-01-10
11:17
Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images / Hernández-Cabronero, Miguel (University of Warwick) ; Sánchez, Victor (University of Warwick) ; Marcellin, Michael W. (University of Arizona) ; Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
The use of whole-slide images (WSIs) in pathology entails stringent storage and transmission requirements because of their huge dimensions. Therefore, image compression is an essential tool to enable efficient access to these data. [...]
2019 - 10.1109/TMI.2018.2852685
IEEE Transactions on Medical Imaging, Vol. 38, Issue 1 (January 2019) , p. 21-32  
2019-01-03
10:23
Improving Marlin’s compression ratio with partially overlapping codewords / Martinez, Manuel (Karlsruhe Institut für Technologie) ; Sandfort, Kai (Karlsruhe Institute of Technology) ; Dubé, Danny (Université Laval (Canadà)) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Marlin [1] is a Variable-to-Fixed (VF) codec optimized for decoding speed. To achieve its speed, Marlin does not encode the current state of the input source, penalyzing compression ratio. In this paper we address this penalty by partially encoding the current state of the input in the lower bits of the codeword. [...]
2018 - 10.1109/DCC.2018.00041
Data Compression Conference. Snowbird, Utah, USA, : 2018, p. 325-334  
2018-12-13
11:49
Dual link image coding for earth observation satellites / Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering) ; Sánchez, Victor (University of Warwick. Department of Computer Science) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Hernandez-Cabronero, Miguel (University of Arizona. Department of Electrical and Computer Engineering)
The conventional strategy to download images captured by satellites is to compress the data on board and then transmit them via the downlink. It often happens that the capacity of the downlink is too small to accommodate all the acquired data, so the images are trimmed and/or transmitted through lossy regimes. [...]
2018 - 10.1109/TGRS.2018.2806082
IEEE transactions on geoscience and remote sensing, Vol. 56, issue 9 (September 2018) , p. 5083-5096  
2018-12-12
09:58
Multilevel split regression wavelet analysis for lossless compression of remote sensing data / Álvarez-Cortés, Sara (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Spectral redundancy is a key element to be exploited in compression of remote sensing data. Combined with an entropy encoder, it can achieve competitive lossless coding performance. One of the latest techniques to decorrelate the spectral signal is the regression wavelet analysis (RWA). [...]
2018 - 10.1109/LGRS.2018.2850938
Geoscience and remote sensing letters, Vol. 15 issue 10 (Oct. 2018) , p. 1540-1544  
2018-01-08
11:23
Almost fixed quality rate-allocation under unequal scaling factors for on-board remote-sensing data compression / Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Albinet, Mathieu (Centre national d'études spatiales (França)) ; Camarero, Roberto (Centre national d'études spatiales (França)) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
This article extends a rate-allocation method based on the near-lossless-rate (NLR) complexity that is designed to operate on-board spacecrafts, to include support for distortion scaling factors, such as those that are needed to code multi- and hyperspectral image when a spectral transform is employed. [...]
2017 - 10.1080/01431161.2017.1334137
International journal of remote sensing, Vol. 39, issue 7 (April 2018)  
2018-01-08
11:21
13 p, 1.2 MB GPU implementation of bitplane coding with parallel coefficient processing for high performance image compression / Enfedaque Montes, Pablo (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Aulí Llinàs, Francesc (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Moure López, Juan Carlos (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
The fast compression of images is a requisite in many applications like TV production, teleconferencing, or digital cinema. Many of the algorithms employed in current image compression standards are inherently sequential. [...]
2017 - 10.1109/TPDS.2017.2657506
IEEE transactions on parallel and distributed systems, Vol. 28, issue 8 (Aug. 2017) , p. 2272-2284  
2018-01-08
11:19
11 p, 1.3 MB Statistical atmospheric parameter retrieval largely benefits from spatial-spectral image compression / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Group on Interactive Coding of Images) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Group on Interactive Coding of Images) ; Laparra, Valero (Universitat de Valencia. Laboratori de Processament d'imatges)
The infrared atmospheric sounding interferometer (IASI) is flying on board of the Metop satellite series, which is part of the EUMETSAT Polar System. Products obtained from IASI data represent a significant improvement in the accuracy and quality of the measurements used for meteorological models. [...]
2017 - 10.1109/TGRS.2016.2639099
IEEE transactions on geoscience and remote sensing, Vol. 55, issue 4 (April 2017) , p. 2213-2224  
2018-01-08
11:17
31 p, 45.0 MB Hyperspectral IASI L1C data compression / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Serra Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Bartrina Rapesta, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
The Infrared Atmospheric Sounding Interferometer (IASI), implemented on the MetOp satellite series, represents a significant step forward in atmospheric forecast and weather understanding. The instrument provides infrared soundings of unprecedented accuracy and spectral resolution to derive humidity and atmospheric temperature profiles, as well as some of the chemical components playing a key role in climate monitoring. [...]
2017 - 10.3390/s17061404
Sensors, Vol. 17, issue 6 (June 2017) , art. 1404  
2018-01-08
11:11
15 p, 5.1 MB Lossless compression of color filter array mosaic images with visualization via JPEG 2000 / Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering) ; Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Digital cameras have become ubiquitous for amateur and professional applications. The raw images captured by digital sensors typically take the form of color filter array (CFA) mosaic images, which must be "developed" (via digital signal processing) before they can be viewed. [...]
2018 - 10.1109/TMM.2017.2741426
IEEE Transactions on multimedia, Vol. 20, issue 2 (Feb. 2018) , p. 257-270  
2018-01-03
17:18
10 p, 624.1 KB Marlin : a high throughput variable-to-fixed codec using plurally parsable dictionaries / Martinez, Manuel (Karlsruhe Institut für Technologie) ; Haurilet, Monica (Karlsruhe Institut für Technologie) ; Stiefelhagen, Rainer (Karlsruhe Institut für Technologie) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona)
We present Marlin, a variable-to-fixed (VF) codec optimized for decoding speed. Marlin builds upon a novel way of constructing VF dictionaries that maximizes efficiency for a given dictionary size. On a lossless image coding experiment, Marlin achieves a compression ratio of 1. [...]
2017 - 10.1109/DCC.2017.74
Data Compression Conference. Snowbird, Utah, USA, : 2017