A Collection of Image Smoothing Algorithms

Image Smoothing via L0 Gradient Minimization

S = L0Smoothing(Im, lambda, kappa)

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid

R = lapfilter(I,sigma_r,alpha,beta,colorRemapping,domain)

Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation

A Fast Approximation of the Bilateral Filter using a Signal Processing Approach

B = bfilter2(A,w,sigma)

Nonlinear total variation based noise removal algorithms

out = SplitBregmanROF(image,mu,tol)

Fast Global Image Smoothing Based on Weighted Least Squares

F = FGS(img, sigma, lambda, joint_image, num_iterations, attenuation)

Tree Filtering: Efficient Structure-Preserving Smoothing With a Minimum Spanning Tree

OUT = TreeFilterRGB_Uint8(uint8_rgbimg,sigma,sig_s[,sig_r=0.05[,num_iter=1]])

Edge-Avoiding Wavelets and their Applications

[A W] = EAW(I, nlevels, wavelet_type, dist_func, sigma)

Diffusion Maps for Edge-Aware Image Editing