An Adapted Block Thresholding Method for Omnidirectional Image Denoising
Brahim Alibouch, Abderrazak Iazzi, Amina Radgui, Mohammed Rziza · Research Journal of Applied Sciences Engineering and Technology · 2014
The problem of image denoising is largely discussed in the literature. It is a fundamental preprocessing task, and an important step in almost all image processing applications. Omnidirectional images offer a large field of view compared to conventional perspectives images, however, they contain important distortions and classical treatments are thus not appropriate for those deformed omnidirectional images. In this study we introduce an adaptation of an adaptation to Stein block thresholding method to omnidirectional images. We will adapt different treatments in order to take into account the nature of omnidirectional images.