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Image matting for fusion of multi-focus images in dynamic scenes
Information Fusion, 2013In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus information of each source image obtained by morphological filtering is used to get the rough segmentation result which is one of the inputs of image matting. Then, image matting technique is applied
Shutao Li, Xudong Kang, Jianwen Hu
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A novel framework for multi-focus image fusion
2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013One 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.
Gaurav Bhatnagar, Q. M. Jonathan Wu
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Multi-focus image fusion: A Survey of the state of the art
Information Fusion, 2020Abstract Multi-focus image fusion is an effective technique to extend the depth-of-field of optical lenses by creating an all-in-focus image from a set of partially focused images of the same scene. In the last few years, great progress has been achieved in this field along with the rapid development of image representation theories and approaches ...
Yu Liu, Juan Cheng, Xun Chen
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A lightweight scheme for multi-focus image fusion
Multimedia Tools and Applications, 2018The aim of multi-focus image fusion is to fuse the images taken from the same scene with different focuses so that we can obtain a resultant image with all objects in focus. However, the most existing techniques in many cases cannot gain good fusion performance and acceptable complexity simultaneously.
Xin Jin 0005 +6 more
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A novel method for multi-focus image fusion
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Digital cameras often suffer from limited depth-of-field which results in blurring parts of the captured image. While, in some applications, partial blurring of the scene might be desired, capturing all-in-focus images is usually of main interest. In this paper we describe a method for multi-focus image fusion able to provide a sharp image from a set ...
Radu Ciprian Bilcu +2 more
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Multi-focus image fusion based on L1 image transform
Multimedia Tools and Applications, 2020In this paper, a new multi-focus image fusion algorithm based on L1 image transform is proposed. A distinctive advantage of the proposed algorithm is that an edge-preserving image decomposition (EPID) framework is constructed by introducing a L1-norm based image transform, which can not only effectively preserve and sharpen salient edges and ridges ...
Shuang Yu +4 more
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Multi Focus Image Fusion by Differential Evolution Algorithm
Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 2014In applications of imaging system one of the major problems is the limited depth of field which disallow to obtain all-in-focus image. However, microscopic and photographic applications desire to have all-in-focus images. One of the most popular ways to obtain all-in-focus images is the multi focus image fusion.
TOPRAK, Ahmet Nusret, ASLANTAŞ, Veysel
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Evaluation of focus measures in multi-focus image fusion
Pattern Recognition Letters, 2007Several focus measures were studied in this paper as the measures of image clarity, in the field of multi-focus image fusion. All these focus measures are defined in the spatial domain and can be implemented in real-time fusion systems with fast response and robustness.
Zhongliang Jing
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A Novel Fusion Algorithm for Multi-focus Image
2011Multi-focus image fusion is an important research content of image processing. A novel and effective multi-focus image fusion algorithm is proposed in this paper. The images to be fused are blurred by Gaussian filter firstly, and then the energy of image Laplacian criterion function is introduced to judge the clear or bleary part of the image.
Hongmei Wang +4 more
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Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition
2021Multi-focus image fusion plays an important role in the field of image processing for its ability in solving the depth-of-focus limitation problem in optical lens imaging by fusing a series of partially focused images of the same scene. The improvements on various fusion methods focus on the image decomposition methods and the fusion strategies ...
Yueqi Tan, Bin Yang
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