Collection Overview

Processing techniques play a crucial role in improving the clarity, fidelity, and interpretability of visual content. With advances in deep learning and computational photography, modern methods enable enhancements such as noise reduction, super resolution, contrast optimization, artifact removal, and colour correction. These techniques support fields ranging from medical imaging and remote sensing to entertainment and surveillance. Challenges remain in handling diverse lighting conditions, maintaining natural appearance, or achieving real-time performance. 

This will be a Collection of original research papers and will be open for submissions from all authors – on the condition that the manuscripts fall within the scope of the Collection and of Scientific Reports more generally. Narrative review articles are also welcomed to our sister journal, Scientific Reviews. Submissions are welcomed until 11th November 2026.

Comments from the Guest Editors

"Visual quality is central to applications like medical imaging, auto-driving, photography, and video streaming, making this topic highly relevant. I am thrilled to lead this Collection with other peer editors, which will highlight innovative image processing techniques. It will serve as a go-to resource for the community, driving progress and offering researchers a high-visibility platform for their work." - Dr. Xingbo Dong

Contribution highlights

Guest Editors:

• Yasheng Chang, Suzhou City University, China
• Xingbo Dong, Anhui University, China
• Kankanala Srinivas, VIT-AP University, India
• Zhuoyi Yin, Nanjing University of Science and Technology, China
• Dawei Zhang, Zhejiang Normal University, China

Internal Team:

• In-House Editor: Dr. Thomas Tischer, Scientific Reports, Germany
• Commissioning Editor: Faija Miah, Fully OA Brands, Springer Nature, UK
• Managing Editor: Chantale Davies, Fully OA Brands, Springer Nature, UK

Visit the Collection page to find out more about this Collection.