The invention discloses a perfect information non-local constraint total variation method for
image recovery. By the method, the problems that edges cannot be sharpened and high-frequency details cannot be recovered during the
image recovery in the prior art are solved. The technical scheme is as follows: (1) suppressing
noise of an indefinite image by using a non-local mean value filter method; (2) initializing a recovered result by using a
wiener filter method; (3) calculating a perfect information non-local
weight coefficient matrix; (4) updating the recovered result by using a threshold value iterative formula; (5) suppressing
noise of the recovered result by using a total variation denoising method; (6) judging whether to update the perfect information non-local
weight coefficient matrix, if so, returning to the step (3), otherwise, executing step (7); and (7) judging whether a stop condition is met, if so, obtaining a final result, otherwise, returning to the step (4) until the stop condition is met. During
recovery, the edge of an image can be sharpened and the high-frequency details of the image can be recovered; and the method can be used for recovering the indefinite image in a known indefinite type.