Deep Learning Applied to Image Processing

Dear Colleagues,

Deep Learning (DL) is creating many new applications in broad areas of science, particularly in the domain of Image Processing (IP). These new innovative applications of DL to complex systems of IP have increased in the last few years. Specifically, this Special Issue is focused on research that addresses IP problems using novel approaches of DL by means of the application of tools of DL.

Therefore, the purpose of this Special Issue is to broadly engage the communities of DL and IP together in order to provide a forum for the researchers and practitioners related to this rapidly developing field and share their novel and original research regarding the topic of Deep Learning applied to Image Processing. Additionally, survey papers addressing relevant topics of DL&IP are also welcome. Topics of interest include but are not limited to:

• Medical imaging;
• Image restoration;
• Deep adversarial learning for IP;
• Image registration;
• Image segmentation;
• Nature-inspired and metaheuristic algorithms for DL&IP;
• Theoretical analysis of DL models for DL&IP.

Prof. Dr. Jose Santamaria Lopez
Prof. Dr. Zong Woo Geem
Guest Editors

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