Defocus Fuzzy Image Restoration

[摘要] In daily life, if the focus is not on the object to be photographed, the image is blurred. This is the blurred image caused by the defocus. The defocus is a very common factor, and in most cases, the defocus amount is unpredictable, which brings great difficulty to defocus image restoration. In the existing defocus fuzzy image restoration method, the defocused point diffusion function can be estimated by determining the model parameters of the defocus blurred image, and then the reconstructed image can be obtained by inverse filtering or Wiener filtering. This paper introduces the causes of the defocus image, expounds the inverse filtering, Wiener filtering and blind restoration methods, and analyses the different principles of the three methods, and uses inverse filtering, Wiener filtering and blind restoration to deal with the defocus blurred images, and the expected results are obtained.

[发布机构] Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan; 430081, China^1;Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan; 430081, China^2;Research Center of Biologic Manipulator and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan; 430081, China^3;3D Printing and Intelligent Manufacturing Engineering Institute, Wuhan University of Science and Technology, Wuhan; 430081, China^4

[效力级别] 无线电电子学 [学科分类] 计算机科学（综合）

[关键词] Blind restoration;Defocus amount;Diffusion functions;Inverse Filtering;Model parameters;Reconstructed image;Restoration methods;Wiener filtering