Image fusion based on pixel significance using cross bilateral filter
By B. K. Shreyamsha Kumar. Signal, Image and Video Processing, 2013
529 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/e28ad7f5c1ab046a7d40f00fc4da14554e0daa68
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Hui Li
- Xiaojun Wu
- Josef Kittler
- Tariq Salim Durrani
- Jiayi Ma
- Xiao-Jun Wu
- Yiannis Demiris
- Linfeng Tang
In Media Technology
- Hui Li
- Josef Kittler
- Xiaojun Wu
- Tariq Salim Durrani
- Jiayi Ma
- Xiao-Jun Wu
- Linfeng Tang
- Yiannis Demiris
Citations in the corpus
- NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention Models (2020, methodology): “We choose twelve typical and state-of-the-art fusion meth-ods to evaluate the fusion performance, including: cross bilateral filter fusion method (CBF) [39], discrete cosine harmonic wavelet transform fusion method (DCHWT) [40], joint SR based fusion method (JSR) [41], the joint sparse representation”
- DenseFuse: A Fusion Approach to Infrared and Visible Images (2018, methodology): “We compare the proposed method with several typical fusion methods, including cross bilateral filter fusion method(CBF) [22], the joint-sparse representation”
- Infrared and Visible Image Fusion with ResNet and zero-phase component analysis (2018, methodology): “These fusion methods are: cross bilateral filter fusion method(CBF)[37], discrete cosine harmonic wavelet transform(DCHWT)[33], joint sparse representation(JSR)[8], saliency detection in sparse domain(JSRSD)[38], gradient transfer and total variation minimization(GTF)[39], weighted least square opti”
- MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion (2018, methodology): “They include: cross bilateral filter method(CBF) [14], discrete cosine harmonic wavelet transform method(DCHWT) [13], joint sparse representation-based method(JSR) [55], the JSR model with saliency detection method(JSRSD) [23], the gradient transfer fusion method(GTF) [30], weighted least square opt”