Research On Wide Filed Microscopic Image Restoration

As the basis material for biomedical research, wide field microscopic images play a significant role in biomedical field. However, because of the influence of diffraction, the quality of wide field microscopic images is degraded inevitably. To get high quality image, image deblurring restoration should be applied as a post-processing technology.According to the knowledge of point spread function(PSF), image restoration algorithms can be divided into two categories: non-blind image restoration algorithm and blind image restoration algorithm. This dissertation focuses on the research of wide field microscopic image restoration, and the main contents are listed as follows:1. Combining Richardson Lucy(RL) algorithm and total variation model, a non-blind image restoration algorithm is proposed for wide field microscopic images. In this algorithm, both image pyramid and two-level deconvolution schemes are applied to estimate latent images from coarse to fine. Total variation regularized Richardson Lucy algorithm is used for inter-level deconvolution method, which can estimate coarse latent images with both artifacts and noises suppressed. Standard Richardson Lucy algorithm is used as intra-level deconvolution, which restore details information efficiently. The number of pyramid layer is decided by experiments. Experimental results show that the proposed algorithm takes less time to estimate latent images, on which details information are recovered. The estimated latent images show better peak signal to noise ratio, higher image entropies and few artifacts.2. Optical transform function(OTF) regularization based image decovolution algorithm is proposed as a blind deconvolution algorithm for wide-field microscopic images. In this algorithm, not only maximum likelihood expectation maximization algorithm but also two-level deconvolution scheme and optical transfer function(OTF) regularization term are used. The OTF is localized and smooth, so the total variation regularized OTF is used to solve the ill-posed problem of point spread function. Experimental results show that, the proposed algorithm can estimate latent images with artifacts suppressed, and the latent images have better peak signal to noise ratio, higher image entropies as well as more details.3. Based on the above proposed algorithms, image restoration system for wide filed microscopic images is designed and accomplished. The system is developed on VS2013 while MFC and OpenCV is adopted. The system consists of three modules: image importation module, algorithm realization module and image display module. Testing results of system show that, this system can be used for both non-blind restoration and blind restoration for wide field microscopic images.