Sub-pixel Translation Registration

This implementation on the MATLAB platform achieves sub-pixel translation registration, a method that significantly enhances image alignment precision up to 0.03 pixels. The process begins with essential image preprocessing steps including noise reduction using filters like medfilt2 or imgaussfilt, and contrast enhancement through histeq or adapthisteq functions. The core algorithm employs advanced interpolation techniques such as Fourier-based phase correlation or gradient-based optimization methods, implemented using MATLAB's imregister function with custom optimization settings. The registration process utilizes sub-pixel shifting algorithms through frequency-domain analysis or spline interpolation, enabling precise image alignment beyond integer-pixel limitations. This high-precision method finds extensive applications in medical imaging analysis, aerial photography interpretation, and other fields requiring extreme alignment accuracy. The implementation includes validation metrics using functions like normxcorr2 for cross-correlation verification and imabsdiff for error measurement.