Notice Board :

Call for Paper
Vol. 12 Issue 12

Submission Start Date:
December 01, 2020

Acceptence Notification Start:
December 10, 2020

Submission End:
December 20, 2020

Final MenuScript Due:
December 22, 2020

Publication Date:
December 25, 2020
                         Notice Board: Call for PaperVol. 12 Issue 12      Submission Start Date: December 01, 2020      Acceptence Notification Start: December 10, 2020      Submission End: December 20, 2020      Final MenuScript Due: December 22, 2020      Publication Date: December 25, 2020




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