关键词: 图像复原, Richardson-Lucy算法, 增益图, Gabor小波

Abstract: For blurring fluorescence microscopic image with Poisson noise, Richardson-Lucy（RL） algorithm can obtain good restoration results. Serious ringing and noise amplification phenomena, however, is generally accompanied. Therefore a new image restoration algorithm is proposed based on traditional RL algorithm in this paper, which is mainly considered from two aspects. One is that a gain map constraint is imposed on RL method, thus the contrast of the image edge is reduced, which can suppress the ringing effect. The other is that the Gabor wavelet decomposition technology is used in every iteration, which can overcome the problem of noise amplification during the course of restoration. Furthermore, more direction salient features of the image can be extracted, which can effectively increase the clarity of the human vision. By appropriately choosing the reasonable parameters, the best restoration result can be obtained. The experimental results show the effectiveness and feasibility of the proposed algorithm.

Key words: image restoration, Richardson-Lucy algorithm, gain map, Gabor wavelet