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24.583  Articles
1 of 2.459 pages  |  10  records  |  more records»
At the present time, image fusion is considered as one of the types of integrated technology information, it has played a significant role in several domains and production of high-quality images. The goal of image fusion is blending information from seve... see more

Steganography is a way to convey secret communication, with rapid electronic communication and high demand of using the internet, steganography has become a wide field of research and discussion. In this paper a new approach for hiding information in cove... see more

Pansharpening is a domain-specific task of satellite imagery processing, which aims at fusing a multispectral image with a corresponding panchromatic one to enhance the spatial resolution of multispectral image. Most existing traditional methods fuse mult... see more

With the development of image processing technology, the copyright protection of digital images has become an urgent problem to be solved. As an effective method, the robust digital watermarking technique emerges at a historic moment. Currently, most robu... see more

Abstract - High spatial and temporal resolutions of satellite imagery are necessary to monitor rapid environment changes at finer scales. However, no single satellite can produce images with both high spatial and temporal resolutions yet. To address this ... see more

First introduce a traditional compressed sensing data fusion technique, and aiming at the shortcoming of traditional method, a compressed sensing data fusion technology based on temporal-spatial correlation is put forward. Then modeling on the proposed da... see more

This study takes the southeastern part of Beijing as an example to compare four remote image fusion algorithms for improving the visualization of Landsat7 ETM+ imagery. This paper introduces four remote image fusion algorithms including the Smoothing Filt... see more

There is an important role played by Magnetic Resonance Imaging (MRI) in the domain of non-invasive diagnosis of brain tumors. Segmentation most commonly used in MRI for extraction of various types of tissues and it is also helps in identifying reflective... see more

We combine multiple images which are pre-registered. In case of Medical Image fusion the inputs for the algorithms come from different modalities, the randomness and redundancy in the images is reduced. Also clinical accuracy of the decisions which are ba... see more

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