Remove Reflection Using Wavelet transformation Estimation

  • Yossra H. Ali Department of Computer Sciences, Technology University, Baghdad, Iraq.
  • Maisa S. Mohsen Department of Computer Sciences, Technology University, Baghdad, Iraq.
Keywords: Remove reflection, Mixture image, Reflection layer, Background layer, Separation

Abstract

     Improving the performance of visual computing systems is achieved by removing unwanted reflections from a picture captured in front of a glass. Reflection and transmission layers are superimposed in a linear form at the reflected photographs. Decomposing an image into these layers is often a difficult task. Plentiful classical separation methods are available in the literature which either works on a single image or requires multiple images. The major step in reflection removal is the detection of reflection and background edges. Separation of the background and reflection layers is depended on edge categorization results. In this paper a wavelet transform is used as a prior estimation of background edges to separate reflection. Experimental results verify the effectiveness of the proposal in the speed and accuracy.

Published
2018-03-28
How to Cite
AliY. H., & MohsenM. S. (2018). Remove Reflection Using Wavelet transformation Estimation. Iraqi Journal of Science, 59(1C), 629-634. Retrieved from http://scbaghdad.edu.iq/eijs/index.php/eijs/article/view/255
Section
Computer Science