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:
2019-12-11
19:18
Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Laparra, Valero (Universitat de València. Laboratori de Processament d'imatges) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Calbet, Xavier (AEMET) ; Camps Valls, Gustau (Universitat de València. Laboratori de Processament d'imatges)
In this paper, we analyze the effect of spatial and spectral compression on the performance of statistically based retrieval. Although the quality of the information is not com- pletely preserved during the coding process, experiments reveal that a certain amount of compression may yield a positive impact on the accuracy of retrievals. [...]
2019 - 10.1109/TGRS.2019.2901396
IEEE transactions on geoscience and remote sensing, Vol. 57, Issue 8 (August 2019) , p. 5651 - 5668  
2019-12-11
18:27
Competitive Segmentation Performance on Near-lossless and Lossy Compressed Remote Sensing Images / García-Sobrino, Joaquín (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Pinho, Armando J. (University of Aveiro. Signal Processing Laboratory) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Image segmentation lies at the heart of multiple image processing chains, and achieving accurate segmentation is of utmost importance as it impacts later processing. Image segmentation has recently gained interest in the field of remote sensing, mostly due to the widespread availability of remote sensing data. [...]
2019 - 10.1109/LGRS.2019.2934997
IEEE geoscience and remote sensing letters, (August 2019)  
2019-12-11
18:21
Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression / Álvarez-Cortés, Sara (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) ; Marcellin, Michael W. (University of Arizona)
Regression wavelet analysis (RWA) is one of the current state-of-the-art lossless compression techniques for remote sensing data. This article presents the first regression-based near-lossless compression method. [...]
2019 - 10.1109/TGRS.2019.2940553
IEEE transactions on geoscience and remote sensing, (October 2019)  
2019-10-04
12:39
16 p, 909.5 KB Performance impact of parameter tuning on the CCSDS-123.0-B-2 low-complexity lossless and near-lossless multispectral and Hyperspectral Image Compression standard / Blanes Garcia, Ian (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Kiely, Aaron (California Institute of Technology (Estats Units d'Amèrica)) ; Hernández-Cabronero, Miguel (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)
This article studies the performance impact related to different parameter choices for the new CCSDS-123. 0-B-2 Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression standard. [...]
2019 - 10.3390/rs11111390
Remote sensing, Vol. 11, Issue 11 (June 2019) , art. 1390  
2019-01-10
11:17
12 p, 7.7 MB 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
10 p, 274.7 KB 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
IEEE geoscience and remote sensing letters, Vol. 15 issue 10 (Oct. 2018) , p. 1540-1544  
2018-01-08
11:23
15 p, 567.3 KB 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