A Method for detection & Correction of Image using BMA and FEC
The transmission of block-coded visual data over packet networks introduces fidelity issues in terms of information losses, that lead to wrong reconstruction of block sequences at the decoder. Concealment techniques aim at masking the visual result of those errors, by exploiting either spatial or temporal on the market data. each temporal and spatial approaches gift drawbacks: the primary is normally inefficient in handling complicated or quick objects’ motion, whereas the second is computationally costly and isn’t ready to recover high-frequency contents and tiny details. during this paper, The technique initial replaces the lost block with the simplest matching pattern in an exceedingly antecedently decoded frame victimization the border data the primary step is achieved by a quick matching algorithmic rule, for a high preciseness isn’t required, whereas the second step recover broken a part of image and boundary of pictures. any error-concealment technique will be applied at the decoder, it’s necessary initial to seek out out whether or not and wherever a transmission error has occurred. Error detection will be performed at the transport coder/decoder and at the video decoder. a way to perform error detection at the transport programmer is by adding header data containing a sequence variety. At the transport decoder, the sequence variety will be used for packet-loss detection. Another methodology at the transport level is to use a forward error correction (FEC). Experimental results show that important enhancements will be achieved concealment approaches, in terms of each subjective and objective reconstruction quality.
Mr. Ankur Saini, Mr. Tilak Shekhabat