Results 241 to 250 of about 18,640,676 (284)

Image registration model and algorithm for multi-focus images

Pattern Recognition Letters, 2017
A model and an algorithm are proposed for multi-focus image registration.The model contains only one parameter, which has explicit physical meaning.They improve the registration accuracy and are better than the widely used method.Factors affecting image registration error are analyzed, and suggestions are given.
Xiaohua Xia, Gang Dang, Yunshi Yao, Jia Liang   +3 more
openaire   +2 more sources

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, Jingyu Hou 0001, Rencan Nie, Shaowen Yao 0001, Dongming Zhou, Qian Jiang, Kangjian He   +6 more
openaire   +1 more source

Fusion of multi-focus images with registration inaccuracies

Signal, Image and Video Processing, 2016
Image fusion combines complementary information for several input images. To obtain useful information from two misaligned images, registration is required. A hybrid textural registration-based multi-focus image fusion scheme is proposed. The Gabor filtering with specific frequency and orientation is used to extract different texture features from the ...
Attiq Ahmad, Sahar Ahmad, Hasnat Khurshid, Muhammad Mohsin Riaz, Abdul Ghafoor 0002, Tahir Zaidi   +5 more
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, Sakari Alenius, Markku Vehvilainen   +2 more
openaire   +2 more sources

Fence Removal from Multi-focus Images

2010 20th International Conference on Pattern Recognition, 2010
When an image of a scene is captured by a camera through a fence, a blurred fence image interrupts objects in the scene. In this paper, we propose a method for a fence removal from the image using multiple focusing. Most of previous methods interpolate the interrupted regions by using information of surrounding textures.
Atsushi Yamashita, Akiyoshi Matsui, Toru Kaneko   +2 more
openaire   +1 more source

Multi-focus image fusion based on L1 image transform

Multimedia Tools and Applications, 2020
In 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, Xiongfei Li, Mingrui Ma, Xiaoli Zhang 0001, Shiping Chen 0001   +4 more
openaire   +2 more sources

Multi-focus image fusion using PCNN

Pattern Recognition, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhaobin Wang, Yide Ma, Jason Gu
openaire   +1 more source

Salience Preserving Multi-Focus Image Fusion

Multimedia and Expo, 2007 IEEE International Conference on, 2007
This paper proposes a novel multi-focus image fusion algorithm. Different from traditional decision map based methods, our algorithm is based on salience preserving gradient, which can better emphasize the structure details of sources while preserving the color consistency.
Richang Hong, Chao Wang 0049, Yong Ge 0001, Meng Wang 0001, Xiuqing Wu, Rong Zhang   +5 more
openaire   +2 more sources

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   +2 more sources

Ensemble of CNN for multi-focus image fusion

Information Fusion, 2019
Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion methods have recently attracted enormous attention. They greatly enhanced the constructed decision map compared with the previous state of the art methods that have been done in the spatial and transform domains.
Mostafa Amin-Naji, Ali Aghagolzadeh, Mehdi Ezoji   +2 more
openaire   +2 more sources