bicubic interpolation method Search Results


piece-wise bicubic hermite interpolation method  (MathWorks Inc)
90
MathWorks Inc piece-wise bicubic hermite interpolation method
Piece Wise Bicubic Hermite Interpolation Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/piece-wise bicubic hermite interpolation method/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
piece-wise bicubic hermite interpolation method - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
bicubic interpolation method  (MathWorks Inc)
90
MathWorks Inc bicubic interpolation method
Bicubic Interpolation Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bicubic interpolation method/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
bicubic interpolation method - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
bicubic interpolation method matlab r2012a  (MathWorks Inc)
90
MathWorks Inc bicubic interpolation method matlab r2012a
Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of original HSI; ( b ) <t>bicubic</t> <t>interpolation;</t> ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.
Bicubic Interpolation Method Matlab R2012a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bicubic interpolation method matlab r2012a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
bicubic interpolation method matlab r2012a - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
bicubic interpolation method imresize function in  (MathWorks Inc)
90
MathWorks Inc bicubic interpolation method imresize function in
Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of original HSI; ( b ) <t>bicubic</t> <t>interpolation;</t> ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.
Bicubic Interpolation Method Imresize Function In, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bicubic interpolation method imresize function in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
bicubic interpolation method imresize function in - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of original HSI; ( b ) bicubic interpolation; ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of original HSI; ( b ) bicubic interpolation; ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques:

Comparison Results of A-PSNR, A-SSIM and SAM of the Different Methods.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Comparison Results of A-PSNR, A-SSIM and SAM of the Different Methods.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques: Comparison

Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of the original HSI; ( b ) bicubic interpolation; ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Experimental results of PaviaU HSI (color composite of R: 80, G: 28, B: 9). ( a ) the false color image of the original HSI; ( b ) bicubic interpolation; ( c ) PCA fusion method; ( d ) WT fusion method; ( e ) P + XS fusion method; ( f ) SR-SR method; ( g ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques:

Comparison results of A-PSNR, A-SSIM and SAM of the different methods.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Comparison results of A-PSNR, A-SSIM and SAM of the different methods.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques: Comparison

Experimental results of Letter paper HSI dataset (color composite of R: 31, G: 20, B: 8). ( a ) original LR HSI; ( b ) bicubic interpolation method; ( c ) SR-SR method; ( d ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Experimental results of Letter paper HSI dataset (color composite of R: 31, G: 20, B: 8). ( a ) original LR HSI; ( b ) bicubic interpolation method; ( c ) SR-SR method; ( d ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques:

The cropped portions of the (color composite of R: 31, G: 20, B: 8). ( a ) bicubic interpolation method; ( b ) SR-SR method; ( c ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: The cropped portions of the (color composite of R: 31, G: 20, B: 8). ( a ) bicubic interpolation method; ( b ) SR-SR method; ( c ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques:

Experimental results of FS-NUST HSI dataset (color composite of R: 52, G: 32, B: 13). ( a ) original LR HSI; ( b ) bicubic interpolation method; ( c ) SR-SR method; ( d ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: Experimental results of FS-NUST HSI dataset (color composite of R: 52, G: 32, B: 13). ( a ) original LR HSI; ( b ) bicubic interpolation method; ( c ) SR-SR method; ( d ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques:

The cropped portions of the (color composite of R: 52, G: 32, B: 13). ( a ) bicubic interpolation method; ( b ) SR-SR method; ( c ) the proposed method.

Journal: Sensors (Basel, Switzerland)

Article Title: Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

doi: 10.3390/s150102041

Figure Lengend Snippet: The cropped portions of the (color composite of R: 52, G: 32, B: 13). ( a ) bicubic interpolation method; ( b ) SR-SR method; ( c ) the proposed method.

Article Snippet: The results are compared with the reconstructed images obtained by bicubic interpolation method (implemented with MATLAB R2012a), principal component analysis (PCA) image fusion method [ ], a discrete wavelet transform (WT) image fusion method [ ] and a variational model for P + XS image fusion [ ] (the software and documentation is available online at: www.math.ucla.edu/∼wittman/pansharpening ), and sparse representation-based SR (SR-SR) method [ ].

Techniques: