2020
DOI: 10.1109/lsp.2020.2989054
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MRI and SPECT Image Fusion Using a Weighted Parameter Adaptive Dual Channel PCNN

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Cited by 76 publications
(28 citation statements)
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“…Conventionally, the values of the PCNN parameters are selected based on successive trials, but recently Xu et al [28] presented different methods related to the selection of the PCNN parameters. Moreover, the other PCNN-based approaches are presented using a adapting linking parameter based on local contrast, entropy (EN), directional gradient, saliency, fractional dimension, local visibility and intensity of pixels or coefficients [16,[28][29][30][31][32]. They exhibited improved fusion performance, however, successive trial-based parameter selection is involved in those approaches.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Conventionally, the values of the PCNN parameters are selected based on successive trials, but recently Xu et al [28] presented different methods related to the selection of the PCNN parameters. Moreover, the other PCNN-based approaches are presented using a adapting linking parameter based on local contrast, entropy (EN), directional gradient, saliency, fractional dimension, local visibility and intensity of pixels or coefficients [16,[28][29][30][31][32]. They exhibited improved fusion performance, however, successive trial-based parameter selection is involved in those approaches.…”
Section: Related Workmentioning
confidence: 99%
“…13 and 14, it is observed that Liu et al [34] and the proposed methods can preserve more structural details but the colour information is better highlighted by the proposed method. Yin et al [31] and the [34], Yin et al [31], Li and Zhao [14], Tan et al [23], (left to right: second row) Panigrahy et al [32], Li et al [7], Proposed method…”
mentioning
confidence: 99%
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“…In general, the word image fusion means a method to amalgamate and coalesce all the useful complementary information acquired from multiple source images of a given scene into a single representation called fused image. Image fusion has a number of applications such as multi-focus [1]- [4], medical [5]- [9], infrared-visible [10]- [14], etc. Due to the tremendous advancement of fusion techniques, the problem of performance evaluation and assessment of image fusion techniques has gained a lot of attention within the research community [15].…”
Section: Introductionmentioning
confidence: 99%