New Insights into Digital Image Processing and Denoising
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 2745
Special Issue Editors
Interests: visual content analysis; image features detection; image classification and recognition; image segmentation; image compression; contour extraction and approximation
Interests: digital communication; image and data processing; intelligent monitoring; security systems; information and coding theory; random signals; computer communications networks and signal processing; watermarking technology
Special Issue Information
Dear Colleagues,
Nowadays, in the era of cutting-edge technologies, the implementation of digital image processing techniques has become a key element of many solutions. This is because there are several potential innovative digital imaging applications that include different areas such as geographic information systems (GIS), environmental and traffic monitoring, quality control in production automation, medical diagnosis and treatment, autonomous vehicles, defense vision, robotics, remote sensing, art and cultural heritage preservation and exploitation, detecting crime and threats, 3D modeling and multimedia, etc.
The growing trends and requirements of the above-mentioned image applications are an increasing challenge for researchers and engineers dealing with digital image processing (DIP). Therefore, DIP is a multidisciplinary science that employs knowledge from various fields such as computer science, mathematics, and also visual psychophysics.
The aim of this Special Issue is to bring together high-quality scientific papers and reports referring to the latest and the most innovative research from a wide range of specialists that could provide comprehensive insights into modern approaches of digital image processing and denoising.
The topics of this Special Issue include (but are not limited to) the following:
- Advanced image (and video) enhancement, denoising, and restoration;
- Image segmentation and object extraction;
- Image classification and recognition;
- Image transforms and manipulations;
- Machine learning for image processing;
- Neural computing for image processing;
- Evolutionary algorithms for image processing;
- Object recognition and image tagging;
- Remote sensing image classification;
- Medical image classification;
- Face and person recognition;
- Handwriting recognition (HWR);
- Content-based image retrieval;
- Building (and other GIS objects) footprint extraction from LIDAR and photogrammetric data;
- 3D imaging, modeling, and visualization;
- Image augmentation and virtual reality;
- Watermarking techniques for data hiding and privacy protection;
- Video surveillance, object tracking, and threat detection;
- Video indexing and abstraction;
- Image quality assessment (IQA);
- Prediction of plant‒leaf disease.
Dr. Remigiusz Baran
Prof. Dr. Andrzej Dziech
Guest Editors
Manuscript Submission Information
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Keywords
- image processing
- image enhancement
- image recognition
- image augmentation
- image retrieval
- object instance segmentation
- shallow and deep learning
- CNN
- filter banks
- 3D imaging
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