Truncated Nuclear Norm Minimization for Image Restoration Based on Iterative Support Detection

Figure 2

Comparisons results of LR-ADMM, TNNR-ADMM-TRY, LRISD-ADMM, and LRISD-ADMM-ADJUST; we use three images here. The first column is original images. The second column is masked images. The masked images are obtained by covering pixels of the original image in our test. The third column depicts images recovered by LR-ADMM. The fourth column depicts images recovered by TNNR-ADMM-TRY and LRISD-ADMM-ADJUST. The fifth column depicts images recovered by LRISD-ADMM where we just use the estimated directly. Noticing the fourth column, we get the same image by applying two different methods, TNNR-ADMM-TRY and LRISD-ADMM-ADJUST. The reason is that the values of calculated in the two methods are the same. But the procedure by which they find is different. In TNNR-ADMM-TRY, they search the best via testing all possible values (1–20). In LRISD-ADMM-ADJUST, we use the estimated rank as a reference to search around for the best .

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