This chapter focuses on the application of aperiodic resonances in image processing. Images are often decomposed into aperiodic signals and then further processed. The resonance that occurs when such signals are input into a nonlinear system is known as aperiodic resonance. These non-traditional image processing methods include image denoising through aperiodic stochastic resonance, weak image feature extraction via logical stochastic resonance, and image contour perception using aperiodic vibrational resonance. These approaches offer new perspectives in the field of image processing.