Image Error Detection and Error Concealment Technique Based on Interleaving Prediction and Direction Information Hiding

Author(s):  
Kuo-Lung Hung ◽  
Chen Husan Tsai
2012 ◽  
Vol 605-607 ◽  
pp. 2475-2478
Author(s):  
Xue Wen Ding ◽  
Yalemtsehay Gared Dagnew ◽  
Ai Ping Yang

The quality of decoded video in erroneous environment depends on efficient detection and concealment of errors. In this paper, an improved error detection technique and a novel temporal error concealment technique for MPEG-4 video are proposed. The proposed detection technique can detect efficiently some transmission error as well locate the exact position of the first error. The proposed temporal concealment method can mask the impairments caused by the detected error significantly with very low computation complexity. Experimental results show the improved detection technique combining with the proposed temporal concealment method can increase the video quality efficiently.


2002 ◽  
Author(s):  
Feng Liu ◽  
Shouping Nie ◽  
XiuChang Zhu

As the demand of video transmission over communication network has grown rapidly, the data compression and error correction in video processing have shown significant improvement day by day. When the error occurs in a single frame, the visual quality of the subsequent frames gets degraded due to error propagation. Thus, the error control techniques are required for the recovery. Concealment of error at the receiver (decoder) side feats the spatial and temporal characteristics of the frame. Without the requirement of the extra bandwidth and retransmission delay, it enhances the quality of the reconstructed video. However, the output of the error concealment may get affected if the error located before is misleading. Thus error detection also plays an important role while reconstructing the video. However, the output of the error concealment may get affected if the error located before is misleading. This paper proposes error detection and concealment approach for the recovery of lost Macro Block (MB) in video. The spatio-temporal techniques has been used for the error detection followed by the MB type decision applied for classifying the damaged macro block .For the concealment method a new method i.e. Modified Spatio-Temporal Boundary Matching Algorithm (MSTBMA) has been proposed. The proposed work is compared with various existing method for spatial and temporal error concealment. The comparison has been done for various types of error such as block error (single, multiple), burst error and random error generated by the software. Performance is improves in terms of PSNR and visual quality by considering the type of lost MB.


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