![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Article
Generalized Welsch penalty for edge-aware image decomposition
Edge-aware image decomposition is an essential topic in the field of multimedia signal processing. In this paper, we propose a novel non-convex penalty function, which we name the generalized Welsch function. ...
-
Article
Robust edge-preserving image smoothing based on complementary weighting scheme
Edge-aware image smoothing refers to the removal of details with edges preserved. It is an essential topic in the field of image processing and computer graphics. In this paper, in order to achieve better edge...
-
Article
Weighted least square filter via deep unsupervised learning
The weighted least square (WLS) filter is a popular edge-preserving image smoother that is particularly useful for detail enhancing and HDR tone map**. However, it suffers from limited edge-preserving capabi...
-
Article
Weighted sparse gradient reconstruction model with a robust fidelity for edge-aware image smoothing
Smoothing out image details while preserving the salient edges is of significance to the field of computational photography. In this paper, we propose a novel optimization model for edge-aware image smoothing,...
-
Article
Weighted and truncated \(L_1\) image smoothing based on unsupervised learning
Edge-preserving image smoothing plays a vital role in the field of computational photography. In this paper, we propose a weighted and truncated $$L_1...
-
Article
Edge-aware image smoothing via weighted sparse gradient reconstruction
Edge-ware image smoothing, which aims at removing fine details while respecting salient edges, is a prevalent topic in the field of computational imaging and photography. In this paper, we propose a novel weig...
-
Article
Fast bilateral filter with spatial subsampling
The bilateral filter is a non-linear edge-preserving filter that can be adopted in a variety of tasks in computer photography. However, the naive bilateral filter is computationally expensive. Existing researc...