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His research field is video signal processing in a broad sense. Application areas include multimedia systems and video health monitoring. The general goal of the processing is signal enhancement to improve the image quality and accurate sensing of vital signals amidst strong artifacts, with topics including: noise and artifact reduction, video format conversion, displayspecific processing, and enabling technologies such as motion estimation and object detection.
De Haan’s research has been documented in 4 books and 3 book chapters, about 200 papers and more than 200 patent applications, and it has resulted in various commercially available ICs. De Haan serves on the program committees of various international conferences on image/video processing and analysis and has been a guest editor for special issues of Elsevier, IEEE, and Springer.
De Haan’s research has been documented in 4 books and 3 book chapters, about 200 papers and more than 200 patent applications, and it has resulted in various commercially available ICs. De Haan serves on the program committees of various international conferences on image/video processing and analysis and has been a guest editor for special issues of Elsevier, IEEE, and Springer.
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2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)pp.3877-3883, (2021)
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BIOMEDICAL OPTICS EXPRESSno. 3 (2020): 1268-1283
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