Structure Preserving ! Image Smoothing " Erkut Erdem ! Today !

Structure Preserving Image Smoothing

Modern Image Smoothing

pixels whereas the source image is denoised while preserving textures in Fig. 11(d). Increasing the level of smoothing in the AT model results in noise-free results as presented in Fig. 11(c), however the textured regions are also smoothed out during the process. Figure 12 illustrates the results of two more texture preserving denoising experiments. Figures 12(c) and (d) are obtained using the ...

Fragments based tracking with adaptive cue integration

In this paper, we address the issue of part-based tracking by proposing a new fragments-based tracker. The proposed tracker enhances the recently suggested FragTrack algorithm to employ an adaptive cue integration scheme. This is done by embedding the original tracker into a particle filter framework, associating a reliability value to each fragment that describes a different part of the target...

Image Segmentation and Total Variation Denoising

Structure-Texture Decomposition of RGB-D Images

In this paper, we study the problem of separating texture from structure in RGB-D images. Our structure preserving image smoothing operator is based on the region covariance smoothing (RCS) method in [16] that we present a number of modifications to this framework to make it depth-aware and increase its effectiveness. In particular, we propose to incorporate three geometric depth features, name...