@inproceedings{7df9afc063554b3aba3c55d034bfeb67,
title = "Compressive image fusion",
abstract = "Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sampling patterns and investigate their performance on CS reconstruction. We then propose a new image fusion algorithm in the compressive domain by using an improved sampling pattern. There are few studies regarding the applicability of CS to image fusion. The main purpose of this work is to explore the properties of compressive measurements through different sampling patterns and their potential use in image fusion. The study demonstrates that CS-based image fusion has a number of perceived advantages in comparison with image fusion in the mul-tiresolution (MR) domain. The simulations show that the proposed CS-based image fusion algorithm provides promising results.",
keywords = "Compressive sensing, Image fusion",
author = "Tao Wan and Nishan Canagarajah and Alin Achim",
year = "2008",
doi = "10.1109/ICIP.2008.4712003",
language = "英语",
isbn = "1424417643",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "1308--1311",
booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",
note = "2008 IEEE International Conference on Image Processing, ICIP 2008 ; Conference date: 12-10-2008 Through 15-10-2008",
}