Error prevention and resilience of VQ encoded images
Signal Processing
Dynamic Adaptive Forward Error Control for Image Transmission over Lossy Networks
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Fast image restoration using the multi-layer best neighborhood matching approach
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
Image vector quantization codec indices recovery using Lagrange interpolation
Image and Vision Computing
Spatial error concealment using pixelwise fine directional interpolation
CSS '07 Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems
Estimation of edge direction for block error concealment using hypothesis testing problem
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Optimization of spatial error concealment for H.264 featuring low complexity
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Intra-frame loss concealment based on directional extrapolation
Image Communication
Spatial error concealment with low complexity in the h.264 standard
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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A new technique to recover the information loss in a block-based image coding system is developed in this paper. The proposed scheme is based on fuzzy logic reasoning and can be divided into three main steps: (1) hierarchical compass interpolation/extrapolation (HCIE) in the spatial domain for initial recovery of lost blocks that mainly contain low-frequency information such as smooth background (2) coarse spectra interpretation by fuzzy logic reasoning for recovery of lost blocks that contain high-frequency information such as complex textures and fine features (3) sliding window iteration (SWI), which is performed in both spatial and spectral domains to efficiently integrate the results obtained in steps (1) and (2) such that the optimal result can be achieved in terms of surface continuity on block boundaries and a set of fuzzy inference rules. The proposed method, which is suitable for recovering both isolated and contiguous block losses, provides a new approach for error concealment of block-based image coding systems such as the JPEG coding standard and vector quantization-based coding algorithms. The principle of the proposed scheme can also be applied to block-based video compression schemes such as the H.261, MPEG, and HDTV standards. Simulation results are presented to illustrate the effectiveness of the proposed method