ISSN 1004-4140
CN 11-3017/P
Volume 22 Issue 1
Mar.  2013
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WANG Lin-yuan, TONG Li, YAN Bin, HU Guo-en. A Method for Image Bipolar Detail Decomposition Based on the TV/L2 Model[J]. CT Theory and Applications, 2013, 22(1): 75-83.
Citation: WANG Lin-yuan, TONG Li, YAN Bin, HU Guo-en. A Method for Image Bipolar Detail Decomposition Based on the TV/L2 Model[J]. CT Theory and Applications, 2013, 22(1): 75-83.
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A Method for Image Bipolar Detail Decomposition Based on the TV/L2 Model

  • Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China

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  • Received Date: September 10, 2012
  • Available Online: December 12, 2022
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  • The Total Variation (TV) minimization method based on TV/L2 model is affected by the regularized parameter in image decomposition, This paper suggests that when the value of the chosen regularized parameter is small and different from classic methods, the property of the decomposed image will have an important change. According to this, a new method for image bipolar detail decomposition based on the TV/L2 model is proposed in this paper. The new method can decompose an image into an approximate image and two detailed images with different properties, when the value of the regularized parameter is small. Applying the decomposition model to Printed Circuit Board (PCB) CT images, we found that by combining the information in the detailed images, an enhanced image with metallic artifacts being effectively reduced can be acquired.
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