Application of detector precision characteristics for the denoising of biological micrographs in the wavelet domain
We propose a new wavelet-domain denoising algorithm for biological micrographs. We compute noise characteristics directly from image acquisition parameters. Algorithm exploits intra- and inter-scale correlation of wavelet coefficients. Algorithm outperforms others: AdaptShrink, BivarShrink, and OraclShrink.
microscope imaging biomedical imaging acquisition noise modeling wavelet image denoising adaptive soft thresholding