Iterative directional total variation refinement for compressive sensing image reconstruction

作者：Fei Xuan; Wei Zhihui; Xiao Liang

来源：IEEE Signal Processing Letters, 2013, 20(11): 1070-1073.

DOI：10.1109/LSP.2013.2280571

• Compressive sensing
• Directional total variations
• Image reconstruction methods
• Orientation field estimations
• Piece-wise constants
• Reconstructed image
• Reconstruction method
• Total variation

We propose a novel compressive sensing (CS) image reconstruction method based on iterative directional total variation (TV) refinement. As is generally known, classical TV-based CS reconstruction methods tend to produce over-smoothed image edges and texture details, since they favor piece-wise constant solutions. Hence, directional TV is introduced to describe the sparsity of the image gradient in order to overcome this drawback. However, it is difficult to estimate orientation field robustly and accurately from CS measurements. Inspired by vectorial ROF model, orientation field refinement model is presented and introduced into CS reconstruction. Extended experiments show that the proposed CS reconstruction method has a better improvement in the quality of the reconstructed image details over related TV-based CS reconstruction methods.

• 出版日期2013
• 单位南京理工大学