 This research paper explored the use of an image processing technique to improve the features of steady-state visual evoked potential SSVP signals. The technique involved applying a sharpening filter to the SSVP signals, which resulted in improved signal-to-noise ratio, SNR, and increased accuracy of several signal processing techniques. This suggests that image processing may be useful for improving the features of SSVP signals, potentially leading to more accurate BCI systems or other applications. This article was authored by Wenqiang Yan, Guanghua Su, Yu Wei Du, and others.