Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Renormalization Group Approach to Image Processing Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple Resolution Segmentation of Textured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
Wavelets and subband coding
Markov random field modeling in computer vision
Markov random field modeling in computer vision
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Multiresolution Gauss-Markov random field models for texture segmentation
IEEE Transactions on Image Processing
Subband-coded image reconstruction for lossy packet networks
IEEE Transactions on Image Processing
Wavelet-based image denoising using a Markov random field a priori model
IEEE Transactions on Image Processing
A fast algorithm for 1-norm vector median filtering
IEEE Transactions on Image Processing
Segmentation of textured images using a multiresolution Gaussian autoregressive model
IEEE Transactions on Image Processing
A joint inter- and intrascale statistical model for Bayesian wavelet based image denoising
IEEE Transactions on Image Processing
Error concealment for video transmission with dual multiscale Markov random field modeling
IEEE Transactions on Image Processing
Domain-based multiple description coding of images and video
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Adaptive MAP error concealment for dispersively packetized wavelet-coded images
IEEE Transactions on Image Processing
Image Segmentation Using Hidden Markov Gauss Mixture Models
IEEE Transactions on Image Processing
An Inpainting- Based Deinterlacing Method
IEEE Transactions on Image Processing
Region-based error concealment of right-view frames for stereoscopic video transmission
Computers and Electrical Engineering
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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 repaired with passive error concealment, where neighboring information is used to estimate missing information. We address the problem of passive error concealment for wavelet coded data with dispersive packetization. The reported techniques of this kind have many problems and usually fail in the reconstruction of high-frequency content. This paper presents a novel locally adaptive error concealment method for subband coded I-frames based on an inhomogeneous Gaussian Markov random field model. We estimate the parameters of this model from a local context of each lost coefficient, and we interpolate the lost coefficients accordingly. The results demonstrate a significant improvement over the reported related methods both in terms of objective performance measures and visually. The biggest improvement of the proposed method compared to the state-of-the-art in the field is the correct reconstruction of high-frequency information such as textures and edges.