Remotely Sensing Image Fusion Based on Wavelet Transform and Human Vision System

@article{Lin2015RemotelySI,
  title={Remotely Sensing Image Fusion Based on Wavelet Transform and Human Vision System},
  author={Hui Lin and Yanfeng Tian and Ruiliang Pu and Liang Liang},
  journal={International Journal of Signal Processing, Image Processing and Pattern Recognition},
  year={2015},
  volume={8},
  pages={291-298}
}
  • Hui Lin, Yanfeng Tian, Liang Liang
  • Published 31 July 2015
  • Computer Science
  • International Journal of Signal Processing, Image Processing and Pattern Recognition
Wavelet transform has many good characteristics, used extensively in image fusion. In recent years, many algorithms have been developed, but there exist some inherent defects such as image blur, burr phenomenon, zigzag boundaries and image discontinuity. In this theory, without considering disadvantages of HVS, especially fused image should preserve brightness and texture features which are the most sensitive to eye, so a new algorithm combining them is proposed. Firstly, by calculating… 
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References

SHOWING 1-10 OF 16 REFERENCES
A New Image Fusion Scheme Based on Wavelet Transform
TLDR
The experimental results show that the scheme can preserve all useful information from primitive images and the clarity and the contrast of the fused image are improved.
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images
A Novel Wavelet Medical Image Fusion Method
  • Hong Zhang, Lei Liu, Nan Lin
  • Engineering
    2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07)
  • 2007
TLDR
Experiments showed that the proposed wavelet image fusion method can have better performance than existing medical image fusion methods.
A human perception inspired quality metric for image fusion based on regional information
Region-Based Image Fusion Using Complex Wavelets
TLDR
A novel region-based image fusion method which facilitates increased flexibility with the definition of a variety of fusion rules and has a number of advantages over pixelbased fusion methods, including the ability to use more intelligent semantic fusion rules.
Wavelets and image fusion
TLDR
An approach to image fusion using the wavelet transform, which allows experimentation with various wavelet array combination and manipulation methods for image fusion, using a set of basic operations on wavelet frequency blocks.
A universal image quality index
TLDR
Although the new index is mathematically defined and no human visual system model is explicitly employed, experiments on various image distortion types indicate that it performs significantly better than the widely used distortion metric mean squared error.
Pixel - Level Fusion of Image Sequences using Wavelet Frames
In this paper we propose a novel approach to the pixel level fusion of spatially registered image sequences. This fusion method incorporates a shift invariant extension of the discrete Wavelet…
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  • S. Mallat
  • Computer Science
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1989
TLDR
It is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2/Sup j/ can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
A novel similarity based quality metric for image fusion
A new objective non-reference quality metric for the performance of pixel level image fusion is proposed in this paper. The novel metric employs a luminance model that is widely used in visual…
...
1
2
...