A Variational Model for P+XS Image Fusion

By Coloma Ballester, V. Caselles, Laura Igual, Joan Verdera, B. Rougé. International Journal of Computer Vision, 2006

461 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/bdaa9581bf7dbaf4fae8d84d316e775286e5fe4b

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In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Fast image and video colorization using chrominance blending (2006, methodology): “This has been used in different fashions in [17] and [23], as well as in [2] for super resolution.”
Wasserstein regularization of imaging problem (2011, background): “…is obtained by combining several penalty terms: generic fidelity and regularization terms (e.g. based on the Euclidean norm, the Total Variation, the Sobolev norm, or the curvature of level set) and a supplementary term devoted to the desired contrast or color change (see e.g. [7] [8] [9]).”
A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods (2021, methodology): “The seminal VO pansharpening article is [66], which proposed the so-called P + XS method based on three assumptions: A1) the LRMS images are assumed to be a lowpass filtered and subsampled version of the desired HRMS images, A2) the PAN image is assumed to be a linear combination of the channels of ”
A survey of classical methods and new trends in pansharpening of multispectral images (2011, methodology): “These methods include the Brovey transform (BT) [32], the P + XS [59,60] and the intensity modulation (IM) method [61].”
PanNet: A Deep Network Architecture for Pan-Sharpening (2017, methodology): “where ↑ Mb indicates upsampling Mb to be the same size as Xb, which is smoothed by convolving with smoothing kernel k [3,4,12,18].”
Hyperspectral Pansharpening: A Review (2015, background): “The works [20], [21], [22] are representative of the Bayesian and variational classes.”
Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics (2008, methodology): “For instance, Ballester et al. [ 46 ] proposed an algorithm based on the following terms and assumptions.”