Image Fusion and Image Processing

Dear Colleagues,

Individual images often suffer from various quality issues, limiting their effectiveness. In addition, single images may fail to capture all necessary details due to the inherent constraints of imaging devices, leading to incomplete or fragmented information. To address these challenges, image fusion and image processing have emerged as crucial techniques. Image fusion integrates complementary information from multiple sources, providing a more comprehensive and accurate representation. Concurrently, image processing enhances image quality by reducing distortions and improving resolution. These technologies play a pivotal role in enhancing the reliability and efficiency of image-based communication and information retrieval, offering significant potential in applications such as medical imaging, remote sensing, and multimedia, where precise and detailed image interpretation is critical. This Special Issue invites contributions focusing on advancements in image fusion, quality improvement, semantic extraction, and the identification of emerging challenges in image processing. We seek novel solutions that push the boundaries of image information extraction.

Topics of interest include, but are not limited to:

• Multi-focus, multi-exposure, and multi-angle fusion;
• Spatial–spectral, multi-hyperspectral, and spatio–temporal fusion in remote sensing;
• Denoising, dehazing, cloud removal, and super-resolution in image processing;
• Object detection, classification, and tracking in image analysis.

Dr. Jiang He
Prof. Dr. Liang-Jian Deng
Dr. Renwei Dian
Guest Editors

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