Multi-focus Image Fusion: Quantitative and Qualitative Comparative Analysis-Reference-Cited by-同舟云学术

Multi-focus Image Fusion: Quantitative and Qualitative Comparative Analysis

Published:2019-11-22 Issue: Volume: Page:533-542
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Bhat Shiveta,Koundal Deepika

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-29407-6_38

Reference42 articles.

1. Liu, Y., Liu, S., Wang, Z.: Multi-focus image fusion with dense SIFT. Inf. Fusion 23, 139–155 (2015)

2. Tang, H., Xiao, B., Li, W., Wang, G.: Pixel convolution neural network for multi-focus image fusion. Inf. Sci. 433–434, 125–141 (2018)

3. Kaur, G., Kaur, P.: Survey on multifocus image fusion techniques. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016

4. Virk, S.R.: Review of image fusion techniques. Int. Res. J. Eng. Technol. (IRJET) 2 (2015)

5. Sharma, M.: A review: image fusion techniques and applications. Int. J. Comput. Sci. Inf. Technol. 7 (2016)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A fuzzy convolutional neural network for enhancing multi-focus image fusion;Journal of Visual Communication and Image Representation;2022-04

2. Meta-analysis of distortions effects on quality of digital images using standard IQA datasets;Journal of Discrete Mathematical Sciences and Cryptography;2021-07-04

3. Multi-focus Image Fusion using Neutrosophic based Wavelet Transform;Applied Soft Computing;2021-07

4. Multi-focus image fusion techniques: a survey;Artificial Intelligence Review;2021-02-07