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Perceptually based downscaling of images [PDF]
ACM Transactions on Graphics, 2015 We propose a perceptually based method for downscaling images that provides a better apparent depiction of the input image. We formulate image downscaling as an optimization problem where the difference between the input and output images is measured using a widely adopted perceptual image quality metric.
Grossmarkus
exaly +3 more sources
Earth and Space Science, 2022 This study investigated the impacts of horizontal resolution of lateral boundary condition (LBC) and downscaling method on the performance of RegCM4.6 in simulating the 2 m air temperature and precipitation over central eastern China.
Xiaoke Xu +7 more
doaj +1 more source
Statistical Learning-Based Spatial Downscaling Models for Precipitation Distribution
Advances in Meteorology, 2022 The downscaling technique produces high spatial resolution precipitation distribution in order to analyze impacts of climate change in data-scarce regions or local scales.
Yichen Wu +3 more
doaj +1 more source
GRACE Downscaler: A Framework to Develop and Evaluate Downscaling Models for GRACE
Remote Sensing, 2023 Monitoring and managing groundwater resources is critical for sustaining livelihoods and supporting various human activities, including irrigation and drinking water supply. The most common method of monitoring groundwater is well water level measurements.
Sarva T. Pulla +2 more
openaire +4 more sources
Remote Sensing, 2020 Land surface temperature (LST) plays a fundamental role in various geophysical processes at varying spatial and temporal scales. Satellite-based observations of LST provide a viable option for monitoring the spatial-temporal evolution of these processes.
Sammy M. Njuki +2 more
doaj +1 more source
Remote Sensing, 2022 Remote sensing soil moisture (SM) has been widely used in various earth science studies and applications, but their low resolution limits their usage and downscaling of them is needed.
Taoning Mao +8 more
doaj +1 more source
Journal of Water and Climate Change, 2023 Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many statistical downscaling models are available these days, but comparison of their performance is still ...
Rituraj Shukla +6 more
doaj +1 more source
Downscaling approach to develop future sub-daily IDF relations for Canberra Airport Region, Australia [PDF]
Proceedings of the International Association of Hydrological Sciences, 2015 Downscaling of climate projections is the most adopted method to assess the impacts of climate change at regional and local scale. In the last decade, downscaling techniques which provide reasonable improvement to resolution of General Circulation ...
H. M. S. M. Herath +2 more
doaj +1 more source
PreciPatch: A Dictionary-based Precipitation Downscaling Method
Remote Sensing, 2020 Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local hydrological assessment.
Mengchao Xu +8 more
doaj +1 more source
BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses
IEEE Access, 2022 Deep neural network (DNN)-based research on image scaling has mostly focused on super-resolution (SR) rather than image downscaling. Specifically, most existing DNN-based methods for image downscaling are used as auxiliary modules to improve the quality ...
Eun Su Kang +4 more
doaj +1 more source