ANALYSIS OF MULTI-FOCUS GRAY SCALE IMAGE FUSION USING WAVELETS

Image fusion has been one of the most promising applications in the field of image processing. So far, there are many articles published in this area, explaining various algorithms of image fusion on different image types. In case of image fusion using wavelet transformation, there is always ambiguity in selecting the proper wavelet. Our paper provides a comparative analysis for choosing a proper wavelet for fusing multi-focus gray scale images using discrete wavelet transform and certain fusion rule. For the statistical analysis, the parameters used are Entropy, Standard Deviation (SD), Root Mean Square Error (RMSE) and Correlation Coefficient (CC). The Statistical analysis is done with the consideration that the original clear reference image of the scene is not available.