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According to the high frequency eddy current testing system based on C-scan, the image blur phenomenon caused by the mismatch between odd and even rows in the reciprocating scanning detection, the image restoration and correction algorithm of adaptive Wiener filtering are designed, and that the causes based on the misalignment between lines are analyzed. The algorithm can effectively process and restore the scan images which the slit and cracks are in the energized wires or braided texture of carbon fiber composites. Moreover, the algorithm can effectively solve the high frequency reciprocating scan parity inter-row fuzzy image distortion caused by misalignment of problem. The feasibility and reliability of the proposed method are verified by comparing the peak signal-to-noise ratio processed by different image restoration algorithms. According to the four algorithms including adaptive Wiener filter restoration and correction are used respectively, the PSNR calculated values of the restored images were 24.918dB, 22.9326dB, 23.7126dB and 24.8218dB, respectively. Experimental results show that the performance of PSNR processing can be greatly improved by the proposed algorithm. Also, the feasibility and reliability are verified. The effective fusion one-way interleaved eddy current imaging results are accurate, reciprocating progressive scan imaging speed characteristics of high efficiency. The proposed method has also been popularized and applied in project-based teaching.