Nguyen Thanh Binh

Work place: Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Vietnam



Research Interests: Image Compression, Image Manipulation, Image Processing, Information Systems, Database Management System, Decision Support System, Multimedia Information System


Nguyen Thanh Binh received the Bachelor of Engineering degree from Ho Chi Minh City University of Technology - Vietnam, the Master's degree and Ph.D degree in computer science from University of Allahabad - India. Now, he is a lecturer at Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology-Vietnam National University in Ho Chi Minh City. He has published more than 35 papers in international journals and conference proceedings. His research interests include recognition, image processing, multimedia information systems, decision support system, and time series data.

Author Articles
Enhancing the Quality of Medical Images Containing Blur Combined with Noise Pair

By Nguyen Thanh Binh Vo Thi Hong Tuyet

DOI:, Pub. Date: 8 Oct. 2015

In many fields, images become a useful tool containing data of which medical image is an example. The diagnosis depends on the skills of the doctors and image clarity. In the real world, most of medical images consist of noise and blur. This problem reduces the quality of images and causes difficulties for doctors. Most of the tasks of increasing the quality of medical images are deblurring or denoising process. This is the difficult problem in medical image processing, because it must keep the edge features and avoid the loss of information. In case of a medical image which contains noise combined with blur, it is more difficult. In this paper, we have proposed a method for increasing the quality of medical images in case that blur combined with noise pair is available in medical images. The proposed method is divided into two steps: denoising and deblurring. We use curvelet transform combined with bayesian thresholding for the denoising step and use the augmented lagrangian method for the deblurring step. For demonstrating the superiority of the proposed method, we have compared the results with the other recent methods available in literature.

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