Impact of Deblurring on Image Matching Algorithms
2023
Motion blur can have a significant impact on the performance of image matching tasks, particularly when using feature-based matching algorithms like SIFT (Scale-Invariant Feature Transform) or SURF (Speeded Up Robust Features).In this work we explore the impact of image deblurring on image matching algorithms.For our work we chose one classical algorithm SIFT and one Neural network model D2NET.For deblurring the images we used the state of the art deblurGAN model.It is observed that Image matching has significantly improved on the deblurred images compared to the blurred images as observed from the precision recall curves.