Image Processing
Image processing focuses on manipulating digital images to enhance quality, extract information, or perform specific tasks. Current research emphasizes deep learning approaches, particularly convolutional neural networks (CNNs) and transformers, for applications ranging from medical image analysis (e.g., detecting diabetic retinopathy) and geospatial image analysis to object detection and style transfer. These advancements are improving the efficiency and accuracy of various fields, from healthcare diagnostics and infrastructure monitoring to resource management and scientific discovery.
Papers
MagicQuill: An Intelligent Interactive Image Editing System
Zichen Liu, Yue Yu, Hao Ouyang, Qiuyu Wang, Ka Leong Cheng, Wen Wang, Zhiheng Liu, Qifeng Chen, Yujun Shen
Image Processing for Motion Magnification
Nadaniela Egidi, Josephin Giacomini, Paolo Leonesi, Pierluigi Maponi, Federico Mearelli, Edin Trebovic
A Counterexample in Cross-Correlation Template Matching
Serap A. Savari
Cellpose+, a morphological analysis tool for feature extraction of stained cell images
Israel A. Huaman, Fares D.E. Ghorabe, Sofya S. Chumakova, Alexandra A. Pisarenko, Alexey E. Dudaev, Tatiana G. Volova, Galina A. Ryltseva, Sviatlana A. Ulasevich, Ekaterina I. Shishatskaya, Ekaterina V. Skorb, Pavel S. Zun