UDC 621 IMAGE ENHANCEMENT USING FUSIONS BY COMBINATION OF WAVELET TRANSFORM AND LAPLACIAN PYRAMID © Dr S.M. Mukane Department of E&TC, SVERI’s College of Engineering, Pandharpur, India Y.S. Ghodake Department of E&TC, SVERI’s College of Engineering, Pandharpur, India P.S. Khandagle Department of E&TC, SVERI’s College of Engineering, Pandharpur, India A.R. Sarkar Department of E&TC, SVERI’s College of Engineering, Pandharpur, India Abstract. <...> This paper represents idea of combining multiple image modalities to provide a single, enhanced image. <...> In this paper image fusion using combination of laplacian pyramid and wavelet transform method is discussed. <...> Performance of image fusion technique is measured by mean square error, normalized absolute error and peak signal to noise ratio. <...> From the performance analysis, it has been observed that MSE is decreased in case of all the three methods where PSNR increased. <...> Keywords: Image fusion, Laplacian pyramid, wavelet transform, Mean Square Error, Normalized Absolute Error and Peak Signal to Noise Ratio. <...> I. INTRODUCTION Image fusion is the process of combining relevant information from two or more images into a single image. <...> The resulting image will be more enhanced than any of the input images. <...> The concept of image fusion has been used in wide variety of applications like medicine, remote sensing, machine Vision, automatic change detection, bio metrics etc. <...> Image fusion is a concept of combining multiple images into composite products, through which more information than that of individual input images can be revealed. <...> Motivation for image fusion is mainly the step toward recent technological advances in the fields of image fusion technique method. <...> Implemented image fusion technique can take comparative analysis laplacian pyramid, wavelet transform and combination of two method [9]. <...> IMAGE FUSION TECHNIQUE The technique of image fusion having two input images is used to get a single image which has better quality than previous two input images. <...> Single image after fusion of two images get the more enhanced than two input images. <...> Schematic structure of proposed combination <...>