Aim of the paper is to propose an optimized method to remove from the images taken by a camera the most common noises, i.e., the ones due to "waving trees" or to bad digitalization. This makes a real time identification of the objects traversing windy scenes or scenes taken with cameras affected by salt and pepper noise possible. The method is based on an extension of the Structural Fitness (SF) algorithm to avoid the analysis of those pixels that can be safely considered to belong to the background according to a simple statistical formula proposed in the paper. The experiments discussed in the paper demonstrate how the denoising method works and its excellent time performance and accuracy in typical engineering applications.
|Titolo:||Fast denoising for moving object detection by an extended structural fitness algorithm|
|Data di pubblicazione:||2005|
|Citazione:||Fast denoising for moving object detection by an extended structural fitness algorithm / Faro A; Giordano D; Spampinato C. - In: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS. - ISSN 1790-0832. - 2:9(2005), pp. 1409-1414.|
|Appare nelle tipologie:||1.1 Articolo in rivista|