Ultrasound Compressive Sensing Using BCS-FOCUSS

Compress sensing has advantage of simultaneous sensing and data compression. In recent years block compressive sensing (BCS) is celebrated because of its low encoding complexity. In this paper FOCUSS reconstruction algorithm based on BCS frame work is proposed utilizing iterative re-weighted l
₁
norm minimization. In proposed approach the required sparsity was attained using l
₁
norm minimization and 2D-Median filter is implemented as smoothing operator for removing blocking artifacts. The performance of reconstruction algorithm is verified on different data sets and results obtained from analysis reveal that the suggested approach for image reconstruction offers significant compression performance in contrast to existing techniques.