Mathematical Techniques and Artificial Intelligence in Image Processing

Dear Colleagues,

The field of image processing has always been an essential component of the digital age, revolutionizing how we capture, manipulate, and understand visual data. In recent years, it has undergone a transformation due to the integration of mathematical techniques and artificial intelligence (AI). This transformation has not only improved the quality and efficiency of image processing tasks but has also opened a plethora of new possibilities in areas such as computer vision, medical imaging, and remote sensing.

Mathematical techniques have always played a fundamental role in image processing, from basic operations like convolution and filtering to more complex algorithms like wavelet transforms and Fourier analysis. These techniques provide the theoretical frameworks and computational tools necessary for manipulating and analyzing image data. On the other hand, AI algorithms, particularly machine learning and deep learning models, enable us to extract meaningful information from vast datasets in an efficient and automated manner.

Together, these two fields are paving the way for a new era of image processing, one that is more robust, versatile, and intelligent than ever before. This Special Issue provides a comprehensive overview of the latest advancements in the application of mathematical techniques and AI in image processing, including but not limited to mathematical methods and AI technologies in image recognition, object detection, image generation, and image enhancement. We invite you to submit your papers and participate in academic exchanges and collaborations in this field to jointly promote the development of image processing.

Dr. Juncheng Li
Dr. Longguang Wang
Dr. Yingqian Wang
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• image processing
• computer vision
• pattern recognition
• deep learning
• image recognition
• image enhancement
• image generation
• image security