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13th International Conference on Signal and Image Processing (SIGL 2026)

SIGL 2026

Date of beginning

Monday, 25 May 2026

Duration

2 days

Deadline for abstracts

Saturday, 28 February 2026

City

Zurich

Country

Switzerland

Contact

sigl@cosit2026.org

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Memo

13th International Conference on Signal and Image Processing (SIGL 2026) May 16 ~ 17, 2026, Zurich, Switzerland https://cosit2026.org/sigl/index Scope & Topics 13th International Conference on Signal and Image Processing (SIGL 2026) serves as a premier forum for researchers, practitioners, and industry experts to present and discuss the latest advances in signal, image, video, audio, and multimodal processing. As the field continues to evolve rapidly driven by breakthroughs in machine learning, computational imaging, large scale sensing, and intelligent systems SIGL 2026 aims to highlight innovative methodologies, emerging applications, and foundational theories that are shaping the future of signal and image processing. SIGL 2026 welcomes original contributions that address both fundamental challenges and real world problems across a broad spectrum of domains, including computer vision, speech and audio processing, biomedical engineering, remote sensing, wireless communication, robotics, and immersive technologies. The conference encourages interdisciplinary work that bridges traditional signal processing with modern AI driven approaches, as well as research that advances robustness, efficiency, interpretability, and scalability in complex environments. Topics of interest include, but are not limited to, the following: Signal, image, video, audio, and multimodal processing algorithms Deep learning methods for signal, image, and video analysis Foundation models for visual, audio, and multimodal signals Self supervised, weakly supervised, and unsupervised learning for signal and image data Generative models for images, video, audio, and multimodal signals (GANs, diffusion, autoregressive models) Efficient and lightweight models for on device signal and image processing Federated, distributed, and continual learning applied to signal and image data Robust, interpretable, and trustworthy AI for signal, image, and audio processing Image understanding, recognition, detection, and segmentation 3D vision, depth estimation, and scene reconstruction from visual signals Vision–language models and multimodal reasoning involving image, video, or audio inputs Medical and biomedical image processing and analysis Remote sensing and satellite image processing Hyperspectral, multispectral, and low light imaging techniques Image enhancement, restoration, denoising, and super resolution Computational imaging and computational photography Video analysis, action recognition, and event understanding Video generation, editing, compression, and quality assessment Speech and audio signal processing (recognition, synthesis, enhancement) Speaker identification, diarization, and verification Acoustic scene analysis, spatial audio, and beamforming Music signal processing and audio generation Signal processing for AR/VR/XR and immersive environments Communication signal processing for wireless, mobile, and sensor systems (focused on signal algorithms, not networking protocols) Radar, sonar, lidar, and other active sensing signal processing Localization, tracking, and multi sensor fusion using signal level methods Biomedical and physiological signal processing (EEG, ECG, EMG, BCI) Wearable and mobile health signal analytics Environmental, geophysical, and scientific signal processing Security and privacy techniques for signal, image, and audio data Adversarial attacks and defenses targeting signal, image, video, or audio models Media forensics, deepfake detection, and content authenticity analysis Watermarking, steganography, and signal based content protection Sparse representations, compressed sensing, and optimization for signal and image processing Graph signal processing and geometric deep learning Statistical and probabilistic methods for signal and image analysis Hardware acceleration and real time systems for signal, image, and audio processing Neuromorphic computing for signal and image applications Edge, cloud, and distributed processing specifically for signal, image, video, or audio workloads Applications of signal and image processing in robotics, autonomous systems, intelligent transportation, and smart environments Industrial inspection and manufacturing quality control using signal or image analysis Cultural heritage preservation using signal and image processing techniques Paper Submission Authors are invited to submit papers through the conference Submission System by February 28, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from SIGL 2026, after further revisions, will be published in the special issues of the following journals Signal & Image Processing : An International Journal (SIPIJ) – ERA Indexed International Journal of VLSI Design & Communication Systems (VLSICS) International Journal of Embedded Systems and Applications (IJESA) International Journal of Multimedia & Its Applications (IJMA) Information Technology in Industry (ITII) Important Dates Submission Deadline : February 28, 2026 Authors Notification : March 28, 2026 Registration & Camera-Ready Paper Due : April 04, 2026 Contact Us Here’s where you can reach us: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.