Image registration with luminance transform operation

In this paper, the robustness of the measures that are used for image registration are tested for common distortions seen in images. Luminance Transform Operation (LTO) is proposed to be used in image registration applications. Performance of the LTO is compared to the Normilized Cross Correlation (NCC) and Mutual Information (MI) measures. Image registration process is carried out between different wavelenght bands of hyperspectral images. Non-linear luminance changes, noise and rotation effects are added to target images, then performances of NCC, MI and LTO are tested for their robustness on registration of corrupted target images. Results depicted that LTO measure is more robust to mentioned distortion effects than other similarity measures.