Mathematical Problems in Engineering
Introduction: Digital image processing (DIP) is an important research area since it spans a variety of applications. Although over the past few decades there has been a rapid rise in this field, there still remain issues to address. Examples include image coding, image restoration, 3D image processing, feature extraction and analysis, moving object detection, and face recognition. To deal with these issues, the use of sophisticated and robust mathematical algorithms plays a crucial role. The aim of this special issue is to provide an opportunity for researchers to publish their latest theoretical and technological achievements in mathematical methods and their various applications related to DIP. This special issue covers topics related to the development of mathematical methods and their applications. It has a total of twenty-four high-quality papers covering various important topics in DIP, including image preprocessing, image encoding/decoding, stereo image reconstruction, dimensionality and data size reduction, and applications.
Original Publication Citation
Liu, Y. H., Chen, C. H., & Chao, P. C. P. (2014). Mathematical methods applied to digital image processing. Mathematical Problems in Engineering, 2014, 1-4. doi: 10.1155/2014/480523
Liu, Yi-Hung; Chen, Chung Hao; and C.P. Chao, Paul, "Mathematical Methods Applied to Digital Image Processing" (2014). Electrical & Computer Engineering Faculty Publications. 71.