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Jan 1, 2012Optimal Recovery (OR) method can be used for reconstructing signals from uniform samples. The OR framework uses the values of a given linear�...
Jul 23, 2024Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Spatially adaptive interpolation and super-resolution using the optimal recovery framework. Profile image of abdul shaik abdul shaik. 2012. See full PDF
In this thesis we improved a spatially-adaptive SR scheme, based on the framework of Optimal Recovery (OR), whereby the block-by-block processing is done�...
We propose a statistical model suitable for large spatio-temporal data sets exhibiting complex patterns such as simulated by physics-based hydraulic models.
In this paper we present an effective method for super resolution (SR). The proposed method is inspired by the Non-Local Means (NLM) algorithm but shows a�...
Missing: optimal recovery
In detail, the SAFM layer uses inde- pendent computations to learn multi-scale feature represen- tations and aggregates these features for dynamic spatial.
Missing: optimal | Show results with:optimal
Spatially adaptive superresolution using the optimal recovery framework. Conference Paper. Apr 2012. Abdul Jabeer Shaik � Sergio Cabrera. Multi�...
Abstract—Super-resolution technology provides an effective way to increase image resolution by incorporating additional information from successive input�...
In this work we propose an improved super-resolution method with bilevel optimization technique to learn the spatially dependent parameter λ that controls�...