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Multifocus Image Fusion based on Human Visual Perception
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 115 - Number 7 |
| Year of Publication: 2015 |
| Authors: Rahul Patil, Vaqar Ansari, Deepak Jayaswal |
10.5120/20162-2236
|
Rahul Patil, Vaqar Ansari, Deepak Jayaswal . Multifocus Image Fusion based on Human Visual Perception. International Journal of Computer Applications. 115, 7 ( April 2015), 10-15. DOI=10.5120/20162-2236
Abstract
The process by which two or more images are merged into a single image is called image fusion, where important characteristics from each of the original image are revived. As images are acquired from different instrument modalities, in order to combine all the capture techniques fusion of image forms a fundamental process. Multifocus image fusion constructs an combined image from multiple source images having focus on different objects from same scene. To achieve this, a spatial domain algorithm is proposed which divides each source image into blocks of sizes varying adaptively. Edge information is extracted from the image by using edge detection techniques. The quality metrics will be obtained for each block, based on human visual perception instead of simple metrics like MSE and PSNR. For the purpose of testing the proposed work, a readily available database of Laboratory for Image and Video Engineering (LIVE) will be used. To demonstrate the quality of the final fused image, evaluation will be done based on the concepts of human visual perception.
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