Perceptually Lossless Compression with Error Concealment for Periscope and Sonar Videos

Abstract

We present a video compression framework that has two key features. First, we aim at achieving perceptually lossless compression for low frame rate videos (6 fps). Four well-known video codecs in the literature have been evaluated and the performance was assessed using four well-known performance metrics. Second, we investigated the impact of error concealment algorithms for handling corrupted pixels due to transmission errors in communication channels. Extensive experiments using actual videos have been performed to demonstrate the proposed framework.

Wireless transceiver bit error rate and capacity improvement using advanced decoding techniques

“…An a priori knowledge can be obtained from the output of the quantizer, source encoder, and by computing how often each codeword occurs at the output. This statistical explanation about the source encoder stored at the receiver to combine with transition probability to figure out the a posteriori probability [7]- [10]. Map estimator was selected to perform the estimation of transmitted symbol.…”