Abstract
Better information can be obtained from sharp images than blurry images. Focused images are not possible to acquire in some circumstances from modalities. Some regions in the images may be blurred and out of focus. In order to overcome these drawbacks, taking more number of images of a scene (that is the same position) and applying fusion techniques to all images by merging to retrieve the best informative fused image. One of those fusion techniques is known as Multi-exposure Image Fusion. This technique synthesizes an LDR image (Low Dynamic Range image). The final result of an image will be more informative. The proposed Non-iterative Multi Exposure Image fusion is one of the promising techniques to enhance the images. Multiscale transform method and Sparse-Representation methods are popular nowadays. In Multi-scale transform methods, the images are divided into layers. In these layers, low pass band and the high pass band exist. In the low pass band, it is possible to lose some vital information when compared to its original image from source. This problem arises due to illumination in various levels of an image. Max-abs (Maximum Absolute) value can be used for the high-pass band to merging image. But for the low-pass band, the even averaging rule cannot be applied. Instead of choosing multi-scale transform and SR representation techniques, we are going to operate directly in all images. In existing system, MEF technique is used as an iterative approach. That means the origins of space from all images are iteratively increased up to convergence level. The proposed Non-iterative MEF context is to form better MEF for image fusion.
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Elaiyaraja, K., Senthil Kumar, M., Karthikeyan, L. (2019). An Amplifying Image Approach: Non-iterative Multi Coverage Image Fusion. In: Peter, J., Fernandes, S., Eduardo Thomaz, C., Viriri, S. (eds) Computer Aided Intervention and Diagnostics in Clinical and Medical Images. Lecture Notes in Computational Vision and Biomechanics, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-04061-1_8
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