Title :
A novel framework for multi-focus image fusion
Author :
Bhatnagar, Gaurav ; Wu, Q. M. Jonathan
Author_Institution :
Indian Inst. of Technol. Jodhpur, Jodhpur, India
Abstract :
One of the foremost requisite for human perception and computer vision task is to get an image with all objects in focus. The image fusion process, as one of the solutions, allows getting a clear fused image from several images acquired with different focus levels of a scene. In this paper, a novel framework for multi-focus image fusion is proposed, which is computationally simple since it realizes only in the spatial domain. The proposed framework is based on the fractal dimensions of the images into the fusion process. The extensive experiments on different multi-focus image sets demonstrate that it is consistently superior to the conventional image fusion methods in terms of visual and quantitative evaluations.
Keywords :
computer vision; image fusion; computer vision task; fractal dimensions; human perception; multifocus image fusion; Fractals; Image fusion; Image quality; Measurement; Principal component analysis; Wavelet transforms;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
Conference_Location :
Jodhpur
Print_ISBN :
978-1-4799-1586-6
DOI :
10.1109/NCVPRIPG.2013.6776177