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Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based Approach

IEEE Transactions on Pattern Analysis and Machine Intelligence
As an effective technique to extend the depth-of-field (DOF) of optical lenses, multi-focus image fusion has recently become an active topic in image processing community. However, a major problem remaining unsolved in this field is the lack of universal
Yu Liu   +3 more
semanticscholar   +1 more source

A lightweight scheme for multi-focus image fusion

Multimedia Tools and Applications, 2018
The 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
openaire   +1 more source

A novel framework for multi-focus image fusion

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013
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.
Gaurav Bhatnagar, Q. M. Jonathan Wu
openaire   +1 more source

A novel method for multi-focus image fusion

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
Digital 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
openaire   +1 more source

Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition

2021
Multi-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
openaire   +1 more source

Compressive Sensing Multi-focus Image Fusion

2014
Based on the compressive sensing theory (CS), various compressive imaging (CI) systems have been developed. Meanwhile, image fusion methods that directly perform on the measurements from multiple CI sensors are also investigated in literatures. In this paper, we presented a multi-focus image fusion method in compressive sensing domain.
Fang Cheng, Bin Yang 0030, Zhiwei Huang
openaire   +1 more source

Focus Relationship Perception for Unsupervised Multi-Focus Image Fusion

IEEE transactions on multimedia
Multi-focus image fusion can extract the focus regions from different source images and combine them into a fully clear image. Existing unsupervised methods typically use gradient information to measure the focus regions in images and generate a fusion ...
Jinyang Liu   +3 more
semanticscholar   +1 more source

SESF-Fuse: an unsupervised deep model for multi-focus image fusion

Neural computing & applications (Print), 2019
Muti-focus image fusion is the extraction of focused regions from different images to create one all-in-focus fused image. The key point is that only objects within the depth-of-field have a sharp appearance in the photograph, while other objects are ...
Boyuan Ma   +5 more
semanticscholar   +1 more source

Single fog image restoration with multi-focus image fusion

Journal of Visual Communication and Image Representation, 2018
Abstract The images and videos captured in bad weather usually have low quality caused by reduced contrast and faded color. However, traditional techniques are not sufficient to solve the problems of halo artifacts and brightness distortion. In this paper, a multi-focus fusion method for single fog image restoration is proposed.
Yin Gao   +3 more
openaire   +1 more source

A Novel Fusion Algorithm for Multi-focus Image

2011
Multi-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
openaire   +1 more source

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