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This is a special blog to expand the process of image fusion in the field of image processing. This blog starts with the explanation of image fusion and then the main purpose if listed out. Further a simple workflow is given for better understanding and then the methods are given. Now, let us go through this blog.
Image Fusion is an important step in image processing that extracts useful information from two images and fuses it together and makes as one. It collects minute information for an image and hence it is able to achieve accurate results. The image fusion takes place by means of pixel, feature, decision and others. By now, we give you the main purpose of the image fusion in the following.
The process of image fusion takes place as a step in an image processing. By this image fusion, the performance of the designed system is improved. Hereby we depict a simple workflow diagram for image fusion below.
As per the above flow, two images are taken as input and a single image is retrieved as output. While the selection of fusion methods depends on the main aim of this proposed system. Here are the methods that can be used for image fusion.
This topic of image fusion is supported by our team in any image processing concept. We have experts in the of image processing to work on a research. For any PhD project we give support for proposal writing, implementation, paper writing and thesis writing. Beyond this, we also support on other PhD project fields as networking, Hadoop, Data Mining and so on. Connect with us through mail and receive your updates.