QUALITY ASSESSMENT OF MULTI FOCUS IMAGES USING FUZZY LOGIC

Image Processing

The information extraction process of image, for example image taken from precise camera, is full of complexities and noises. As a result, cost spends on such processing like time and assets is high, particularly for large and complex amount of information. The fusion of images is the process of merging two or more images into a single image preserving significant features from each. The result of fused image is a single image which is highly appropriate for person and machine observation or further image-processing missions. In this paper, we are going to extract image from two or more images. In this paper, we proposed a fuzzy logic method to fuse images from different sensors, in order to enhance the quality and compared proposed method with other method i.e. image fusion using wavelet transform along with quality evaluation parameters mean square error (MSE), peak signal to noise ratio (PSNR), and Normalized cross correlation(NCC). The results obtained from proposed fuzzy based image fusion approach improves quality of fused image as compared to earlier reported wavelet transform based image fusion methods

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