Abstract Now a days Empirical Mode Decomposition (EMD) is an important tool for image analyzing. Optimizing threshold value of Bidimensional Intrinsic Mode Function (BIM F) is one of the important tasks in speckle noise reduction in the Bidimensional Empirical Mode Decomposition (BEMD) d omain. Without proper selection of threshold value image information may be lost, which is unwanted. In this paper we proposed optimum threshold parameter usin g Fisher Discriminant Analysis (FDA) for determining the opt imum threshold value of the Intrinsic Mode Functions (IMF) for the best speckle noise reduction. In the mean time, we used the optimal threshold value for separating the higher frequency signal from BIMF to calculate the mean of these separated signa ls for alleviating speckle noise. It also preserves edges without loss of important image information. The method is compared with the several other classical thresholding methods on variety of images and the experimental results confirm signifi cant improvement over existing methods. 

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[24] Wu H. and Huang D., Kernel Fisher Discriminant Analysis using Feature Vector Selection for Fault Diagnosis, in Proceedings of the 2 nd International Symposium on Intelligent Information Technology Application , Shanghai, China, pp.109 113, 2008. Mohammad-Motiur Rahman received the BSc Engineering and MS degrees in computer science and engineering from Jahangirnagar University, Bangladesh, in 1995 and 2001. Currently, he is pursuing the PhD degree. His research interests include: Digital image processing, medical image processing, computer vision and digit al electronics. He has many International Journal and Conference Publications. Mithun-Kumar Pk received the BSc engineering degree in computer science and engineering from Mawlana Bhashani Science and Technology University, Bangladesh. His research interests include: Image analysis, image processing and medical image processing, pattern recognition, 3D visualization, segmentation, filter optimization. H e has many International Journal and Conference publications and he is a regular reviewer of IET Im age Processing Journal. 464 The International Arab Journal of Information Techn ology, Vol. 12, No. 5, September 2015 Mohammad-Shorif Uddin is currently working in Department of Computer Science and Engineering, Jahangirnagar University, Bangladesh. His research is focused on bioimaging and image analysis, computer vision, pattern recognition, blind navigation, medical diagnosis and disaster prevention. He published many papers in renowned journals like IEEE, Elsevier, Iet, Optical Society of America etc.