13th International Conference on Signal and Image Processing (SIGL 2026)
May 16 ~ 17, 2026, Zurich, Switzerland Hybrid -- Registered authors can present their work online or face to face. 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 April 04, 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 (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from SIGL 2026, after further revisions, will be published in the special issue of the following journals. Important Dates | Submission Deadline | : | April 04, 2026 | | Authors Notification | : | April 25, 2026 | | Final Manuscript Due | : | May 02, 2026 |
Co - Located Event ***** The invited talk proposals can be submitted to sigl@cosit2026.org
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