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

Website https://cosit2026.org/sigl/index | Edit Freely

Category SIGL 2026

Deadline: February 07, 2026 | Date: May 16, 2026-May 17, 2026

Venue/Country: Swaziland

Updated: 2026-01-19 22:38:07 (GMT+9)

Call For Papers - CFP

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 07, 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 07, 2026

Authors Notification : March 28, 2026

Registration & Camera-Ready Paper Due : April 04, 2026

Contact Us

Here’s where you can reach us : siglcosit2026.org or conf25_siglyahoo.com