Computer vision methods, image enhancement, denoising, and applications
Digital image processing at ICDIP 2026 is presented as a broad technical domain that connects classical image analysis with modern AI-driven computer vision pipelines. The conference describes wide application coverage, including medical imaging, autonomous driving, remote sensing, surveillance and security, and cultural heritage preservation, reflecting the spectrum from safety-critical perception to scientific imaging and content integrity. In terms of research directions, the official overview references sustained attention to international “hotspots” such as image enhancement and restoration, feature analysis and extraction, image denoising, infrared imaging, and digital watermarking, which map directly to common industrial needs: improving sensor data quality, extracting robust representations, and protecting image authenticity across data flows. This scope makes ICDIP relevant to both researchers proposing new algorithms and engineering teams evaluating methods for production-grade perception, inspection, monitoring, and imaging systems.