VIDEO

Context-aware patch-based image inpainting using Markov random field modeling

In this paper, we first introduce a general approachfor context-aware patch-based image inpainting, where texturaldescriptors are used to guide and accelerate the search forwell-matching (candidate) patches. A novel top-down splittingprocedure …

Depth-guided patch-based disocclusion filling for view synthesis via Markov random field modelling

In this paper, we propose a novel patch-based disocclusion filling method for view synthesis from video-plus-depth data. The proposed method treats disocclusion filling as a global optimization problem, where global (spatial) consistency among the …

Denoising algorithm for the 3D depth map sequences based on multihypothesis motion estimation

Passive error concealment for wavelet-coded I-frames with an inhomogeneous Gauss-Markov random field model

In video communication over lossy packet networks (e.g., the Internet), packet loss errors can severely damage the transmitted video. The damaged video can largely be repairedwith passive error concealment, where neighboring informationis used to …

Combined wavelet domain and motion compensated filtering compliant with video codecs

In this paper, we introduce the idea of using motion estimation resources from a video codec for video denoising. This is not straightforward because the motion estimators aimed for video compression and coding, tolerate errors in the estimated …

Wavelet based joint denoising of depth and luminance images

In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images. Our method first …