This book presents theoretical and practical aspects of the interaction between low and high level image processing. Multiresolution analysis owes its popularity mostly to wavelets and is widely used in a variety of applications. Low level image processing is important for the performance of many high level applications. The book includes examples from different research fields, i.e. video surveillance; biomedical applications (EMG and X-ray); improved communication, namely teleoperation, telemedicine, animation, augmented/virtual reality and robot vision; monitoring of the condition of ship systems and image quality control.UPB Sci Bull C 72(2):63a76 Badashah SJ, Subbaiah P (2012) Surface roughness prediction with denoising using wavelet filter. ... using Matlab. (in Croatian) Seminar work, University of Split, Faculty of Maritime Studies Kuzmanic I I, Vujovic I I, Vujovic I M ... Ann Stat 27:859a897. doi:10.1214/aos/1018031261 Selesnick IW, Baraniuk RG, Kingsbury NG (2005) The dual-tree complex wavelet transform.
|Title||:||Multiresolution Approach to Processing Images for Different Applications|
|Publisher||:||Springer - 2014-12-27|