Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain
Pansharpening techniques aim at fusing low-resolution multispectral (MS) images and high-resolution panchromatic (PAN) images to produce high-resolution MS images. Despite significant progress in the field, spectral and spatial distortions might still compromise the quality of the results. We introduce a restoration strategy to mitigate artifacts of fused products. After applying the Principal Component Analysis (PCA) transform to a pansharpened image, the chromatic components are filtered conditionally to the geometry of PAN. The structural component is then replaced by the locally histogram-matched PAN for spatial enhancement. Experimental results illustrate the efficiency of the proposed restoration chain.
Code (0)
등록된 구현이 없습니다.
Tasks
PansharpeningSimilar Papers 제목 키워드 기반
Deep dual stream residual network with contextual attention for pansharpening of remote sensing images
Pansharpening enhances spatial details of high spectral resolution multispectral images using features of high spatial resolution panchromatic image. There are a number of traditional pansharpening approaches but produci…
Image ReconstructionPansharpeningDenoising and Covariance Estimation of Single Particle Cryo-EM Images
The problem of image restoration in cryo-EM entails correcting for the effects of the Contrast Transfer Function (CTF) and noise. Popular methods for image restoration include `phase flipping', which corrects only for th…
DenoisingImage RestorationEnhanced Control for Diffusion Bridge in Image Restoration
Image restoration refers to the process of restoring a damaged low-quality image back to its corresponding high-quality image. Typically, we use convolutional neural networks to directly learn the mapping from low-qualit…
DenoisingImage RestorationRain RemovalSuper-ResolutionA Unified Conditional Framework for Diffusion-based Image Restoration
Diffusion Probabilistic Models (DPMs) have recently shown remarkable performance in image generation tasks, which are capable of generating highly realistic images. When adopting DPMs for image restoration tasks, the cru…
DeblurringDenoisingImage GenerationImage RestorationVolumetric Super-Resolution of Multispectral Data
Most multispectral remote sensors (e.g. QuickBird, IKONOS, and Landsat 7 ETM+) provide low-spatial high-spectral resolution multispectral (MS) or high-spatial low-spectral resolution panchromatic (PAN) images, separately…
PansharpeningSuper-Resolution