Notice Board :

Call for Paper
Vol. 14 Issue 4

Submission Start Date:
May 01, 2022

Acceptence Notification Start:
May 10, 2022

Submission End:
May 20, 2022

Final MenuScript Due:
May 22, 2022

Publication Date:
May 25, 2021
                         Notice Board: Call for PaperVol. 14 Issue 4      Submission Start Date: May 01, 2022      Acceptence Notification Start: May 10, 2022      Submission End: May 20, 2022      Final MenuScript Due: May 22, 2022      Publication Date: May 25, 2021




Volume XI Issue X

Author Name
Nalini Dhuware, Anshuj Jain
Year Of Publication
2019
Volume and Issue
Volume 11 Issue 10
Abstract
With the ready availability of multiple sensors, the area of information fusion has been receiving increasing attention. For multi-sensor image data, algorithms such as simple average method, Principal Component Analysis (PCA) method, Gradient Pyramid (GP) method, Laplacian Pyramid (LP), Ratio Pyramid (RP) method and Discrete Wavelet Transform (DWT) methods have been successfully applied for image fusion. Another important issue that arises in image fusion: the performance of image fusion is that the performance of the associated algorithms is difficult to evaluate, especially when a clearly defined ground-truth image is not available. Some common measures to assess the performance for image fusion are Mutual information (MI), Tsallis and Renyi divergence based information. However they are difficult to estimate precisely. In this paper, a new approach is proposed for evaluating the performance of image fusion algorithms based on copula functions. To achieve this, copulas are proposed
PaperID
2019/EUSRM/10/2019/55227