Phase Correlation for Digital Images

Phase correlation for digital images is a method used to detect phase changes before and after displacement between two images. By analyzing phase information in images, the displacement between images can be determined. This method is widely used in image processing and computer vision fields, with applications including image registration and motion detection. The calculation process for phase correlation is relatively complex, requiring mathematical and signal processing techniques. Implementation typically involves using Fast Fourier Transform (FFT) to convert images to frequency domain, computing the cross-power spectrum, and applying inverse FFT to obtain the phase correlation surface. The peak location in this surface indicates the displacement vector between images. Through studying and understanding the principles and algorithms of digital image phase correlation, one can better comprehend and apply this method in practical scenarios such as automated image alignment and motion tracking systems.