A Video Fusion Using Wavelet Transformation Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 11
Abstract
Image processing techniques mainly focus upon enhancing the quality of an image or a set of images and to derive the maximum information from them. Image Fusion is such a technique of producing a superior quality image from a set of available images. Image fusion is the process that fuses the information from multiple images of the same size. The image fusion results generate new images that contain the contents and most desirable information and characteristics of each input image. A lot of research is being done in this field encompassing areas of Computer Vision, Automatic object detection, Image processing, parallel and distributed processing, Robotics and remote sensing. Sometimes, pictures are clicked using ‘Auto-focus’ function, in which background or foreground may blur. These pictures don’t convey complete information. So image fusion helps to retrieve more information from such images. Another category of images is that in which one picture is taken in more light and the other one of the same scene taken in the dark. So in that case as well the information of the scene is not complete. The solution of this problem is also ‘Image Fusion’. This thesis reports a detailed study performed over some image fusion algorithms regarding their implementation. The techniques used for image fusion are Discrete Wavelet Transform and Principal component analysis. A hybrid method for image fusion has been developed, here Discrete Wavelet Transform and Principal Component Analysis techniques are combined. The results are calculated using different quality metrics. From the values of parameter it has been observed that DWT when combined with PCA gives best results.
Authors and Affiliations
Tamanpreet Kaur, Er. Vinod Kumar
Keywords
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