Multi-focus image fusion for visual sensor networks in DCT domain

@article{Haghighat2011MultifocusIF,
  title={Multi-focus image fusion for visual sensor networks in DCT domain},
  author={Mohammad Haghighat and Ali Aghagolzadeh and Hadi Seyedarabi},
  journal={Comput. Electr. Eng.},
  year={2011},
  volume={37},
  pages={789-797}
}

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References

SHOWING 1-10 OF 18 REFERENCES

A contrast based image fusion technique in the DCT domain

Block Level Multi-Focus Image Fusion Using Wavelet Transform

This work applies image fusion to integrate multiple images of the scene having focus on different objects and to present cumulative clear view of thescene to assure better performance when put to test using image quality evaluation metrics.

A new method of image fusion based on redundant wavelet transform

A new fusion algorithm based on the redundant wavelet transform (RWT) is presented, which outperforms the other conventional methods in both subjective and objective evaluation measures.

Adaptive Fusion of Multimodal Surveillance Image Sequences in Visual Sensor Networks

The proposed fusion method uses the structural similarity measure (SSIM) to measure a level of noise in regions of a received image in order to optimize the selection of regions in the fused image.

Multifocus image fusion using region segmentation and spatial frequency

Multisensor Image Fusion Using the Wavelet Transform

The proposed scheme performs better than the Laplacian pyramid-based methods due to the compactness, directional selectivity, and orthogonality of the wavelet transform.

Image fusion: Advances in the state of the art

Pixel- and region-based image fusion with complex wavelets

Image sequence fusion using a shift-invariant wavelet transform

  • Oliver Rockinger
  • Computer Science
    Proceedings of International Conference on Image Processing
  • 1997
A novel approach to the fusion of spatially registered images and image sequences is proposed that incorporates a shift invariant extension of the discrete wavelet transform, which yields an overcomplete signal representation.

Image quality assessment: from error visibility to structural similarity

A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.