SAR image despeckling using quadratic–linear approximated ‐norm
Fatih Nar · Electronics Letters · 2018
Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks. Thus, speckle noise reduction is a critical preprocessing step for smoothing homogeneous regions while preserving details. This Letter proposes a variational despeckling approach where ‐norm total variation regularisation term is approximated in a quadratic and linear manner to increase accuracy while decreasing the computation time. Despeckling performance and computational efficiency of the proposed method are shown using synthetic and real‐world SAR images.