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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:

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2026-05-27
20:12
8 p, 333.8 KB Self-conducted allocation strategy of quality layers for JPEG2000 / Aulí Llinàs, Francesc (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)
The rate-distortion optimality of a JPEG2000 codestream is determined by the density and distribution of the quality layers it contains. The allocation of quality layers is, therefore, a fundamental issue for JPEG2000 encoders, which commonly distribute layers logarithmically or uniformly spaced in terms of bitrate, and use a rate-distortion optimization method to optimally form them. [...]
2008 - 10.1155/2008/728794
Eurasip Journal on Advances in Signal Processing, Vol. 2008, Num. 1 (December 2008) , art. 728794  
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2026-05-27
19:12
11 p, 2.8 MB Enhanced JPEG2000 Quality Scalability through Block-Wise Layer Truncation / Aulí Llinàs, Francesc (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)
Quality scalability is an important feature of image and video coding systems. In JPEG2000, quality scalability is achieved through the use of quality layers that are formed in the encoder through rate-distortion optimization techniques. [...]
2010 - 10.1155/2010/803542
Eurasip Journal on Advances in Signal Processing, Vol. 2010, Num. 1 (December 2010) , art. 803542  
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2026-05-21
20:13
26 p, 4.2 MB The current role of image compression standards in medical imaging / Liu, Feng (Nankai University) ; Hernández-Cabronero, Miguel (The University of Arizona. Department of Electrical and Computer Engineering) ; Sánchez Silva, Víctor Francisco (University of Warwick. Department of Computer Science) ; Marcellin, Michael W. (The University of Arizona. Department of Electrical and Computer Engineering) ; Bilgin, Ali (The University of Arizona. Department of Medical Imaging)
With the increasing utilization of medical imaging in clinical practice and the growing dimensions of data volumes generated by various medical imaging modalities, the distribution, storage, and management of digital medical image data sets requires data compression. [...]
2017 - 10.3390/info8040131
Information, Vol. 8, Num. 4 (December 2017) , art. 131  
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2026-05-21
18:13
14 p, 9.0 MB Lower Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities / Blanes Garcia, Ian (Universitat Autònoma de Barcelona) ; Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona) ; Marcellin, Michael W. (University of Arizona. Department of Electrical and Computer Engineering)
In this paper, we provide a method to obtain tight lower bounds on the minimum redundancy achievable by a Huffman code when the probability distribution underlying an alphabet is only partially known. [...]
2019 - 10.1109/ACCESS.2019.2932206
IEEE Access, Vol. 7 (July 2019) , p. 115857-115870  
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2026-05-27
14:12
15 p, 9.1 MB High-throughput variable-to-fixed entropy codec using selective, stochastic code forests / Torres, Manuel Martinez (Karlsruhe Institut für Technologie) ; Hernández-Cabronero, Miguel (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)
Efficient high-throughput (HT) compression algorithms are paramount to meet the stringent constraints of present and upcoming data storage, processing, and transmission systems. In particular, latency, bandwidth and energy requirements are critical for those systems. [...]
2020 - 10.1109/ACCESS.2020.2991314
IEEE Access, Vol. 8 (2020) , p. 81283-81297  
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2026-05-27
14:12
17 p, 1.2 MB Analysis of variable-length codes for integer encoding in hyperspectral data compression with the k2-raster compact data structure / Chow, Hing Fai Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Tzamarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Hernández-Cabronero, Miguel (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)
This paper examines the various variable-length encoders that provide integer encoding to hyperspectral scene data within a k-raster compact data structure. This compact data structure leads to a compression ratio similar to that produced by some of the classical compression techniques. [...]
2020 - 10.3390/rs12121983
Remote sensing (Basel), Vol. 12, Num. 12 (June 2020) , art. 1983  
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2026-05-19
19:12
10 p, 1.1 MB DivNet : Efficient Convolutional Neural Network via Multilevel Hierarchical Architecture Design / Kaddar, Bachir (University Ibn Khaldoun. Department of Natural and Life Sciences) ; Fizazi, Hadria (Université des Sciences et de la Technologie dOran Mohamed Boudiaf. Department of Computer Sciences) ; Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Sánchez Silva, Víctor Francisco (University of Warwick. Department of Computer Science) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions)
Designing small and efficient mobile neural networks is difficult because the challenge is to determine the architecture that achieves the best performance under a given limited computational scenario. [...]
2021 - 10.1109/ACCESS.2021.3099952
IEEE Access, Vol. 9 (July 2021) , p. 105892-105901  
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2026-05-19
18:12
5 p, 1.6 MB Performance Improvement on k2-Raster Compact Data Structure for Hyperspectral Scenes / Chow, Hing Fai Kevin (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Tzarmarias, Dion Eustathios Olivier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Hernández-Cabronero, Miguel (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)
This letter proposes methods to improve data size and access time for k2-raster, a losslessly compressed data structure that provides efficient storage and real-time processing. Hyperspectral scenes from real missions are used as our testing data. [...]
2021 - 10.1109/LGRS.2021.3084065
IEEE Geoscience and Remote Sensing Letters, Vol. 19 (June 2021) , art. 5506605  
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2026-03-16
20:12
12 p, 3.1 MB A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy / Gallés, Pau (Satellogic Inc) ; Takáts, Katalin (Satellogic Inc) ; Hernández-Cabronero, Miguel (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Berga, David (EURECAT - Multimedia Technologies Unit) ; Pega, Luciano (Satellogic Inc) ; Riordan-Chen, Laura (Satellogic Inc) ; Garcia, Clara (Satellogic Inc) ; Becker, Guillermo (Satellogic Inc) ; Garriga, Adan (EURECAT - Multimedia Technologies Unit) ; Bukva, Anica (EURECAT - Multimedia Technologies Unit) ; Serra-Sagristà, Joan (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Vilaseca, David (Satellogic Inc) ; Marin, Javier (Satellogic Inc)
iquaflow is a framework that provides a set of tools to assess image quality. The user can add custom metrics that can be easily integrated and a set of unsupervised methods is offered by default. Furthermore, iquaflow measures quality by using the performance of AI models trained on the images as a proxy. [...]
2024 - 10.1109/JSTARS.2023.3342475
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17 (2024) , p. 3285-3296  
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2026-02-19
09:12
8 p, 3.0 MB Region of Interest Coding in Photsat Mission / Quintas Torra, Pau (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Fernández-Mellado, Xavier (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Maireles González, Òscar (Universitat Autònoma de Barcelona. Departament d'Enginyeria de la Informació i de les Comunicacions) ; Hernández-Cabronero, Miguel (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)
The Institute of Space Studies of Catalonia (IEEC) coordinates the PhotSat project [1], which involves the development and construction of a satellite to monitor the 10 million brightest stars in the sky for at least two years. [...]
2024 - 10.5281/zenodo.13860105
International Workshop on On-Board Payload Data Compression. Las Palmas de Gran Canaria, (9th : 2024 : Las Palmas de Gran Canaria)  
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