A Method for Image Bipolar Detail Decomposition Based on the TV/L2 Model

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.