  We propose a robust image enhancement algorithm dedicated for muscle fiber
specimen images captured by optical microscopes. Blur or out of focus problems
are prevalent in muscle images during the image acquisition stage. Traditional
image deconvolution methods do not work since they assume the blur kernels are
known and also produce ring artifacts. We provide a compact framework which
involves a novel spatially non-uniform blind deblurring approach specialized to
muscle images which automatically detects and alleviates degraded regions. Ring
artifacts problems are addressed and a kernel propagation strategy is proposed
to speedup the algorithm and deals with the high non-uniformity of the blur
kernels on muscle images. Experiments show that the proposed framework performs
well on muscle images taken with modern advanced optical microscopes. Our
framework is free of laborious parameter settings and is computationally
efficient.
