  Thresholding of Curvelet Coefficients, for image denoising, drains out subtle
signal component in noise subspace. This produces ringing artifacts near edges
and granular effect in the denoised image. We found the noise sensitivity of
Curvelet phases (in contrast to their magnitude) reduces with higher noise
level. Thus, we preserved the phase of the coefficients below threshold at
coarser scale and estimated their magnitude by Joint Bilateral Filtering (JBF)
technique from the thresholded and noisy coefficients. In the finest scale, we
apply Bilateral Filter (BF) to keep edge information. Further, the Guided Image
Filter (GIF) is applied on the reconstructed image to localize the edges and to
preserve the small image details and textures. The lower noise sensitivity of
Curvelet phase at higher noise strength accelerate the performance of proposed
method over several state-of-theart techniques and provides comparable outcome
at lower noise levels.
