Multi-focus image fusion using maximum symmetric surround saliency detection
In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa. Multi-focus image fusion is a process of generating an all-in-focus image from several out-of-focus images. In this paper,...
Main Authors: | Durga Prasad Bavirisetti, Ravindra Dhuli |
---|---|
Format: | Article |
Language: | English |
Published: |
Computer Vision Center Press
2016-01-01
|
Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
Subjects: | |
Online Access: | https://elcvia.cvc.uab.es/article/view/793 |
Similar Items
-
Multi-focus image fusion using multi-scale image decomposition and saliency detection
by: Durga Prasad Bavirisetti, et al.
Published: (2018-12-01) -
Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework
by: Jiang Qian, et al.
Published: (2019-01-01) -
Multiscale Image Matting Based Multi-Focus Image Fusion Technique
by: Sarmad Maqsood, et al.
Published: (2020-03-01) -
An Infrared and Visible Image Fusion Method Guided by Saliency and Gradient Information
by: Qingqing Li, et al.
Published: (2021-01-01) -
Improving the Performance of Image Fusion Based on Visual Saliency Weight Map Combined With CNN
by: Lei Yan, et al.
Published: (2020-01-01)