Not exactly. Both are formulated as inverse problem in image processing. Super-Resolution investigates the case where information is lost due to downscaling whereas deblurring focus on blurry input (e.g., by low pass filters). However, they have similar properties and deep learning based methods can be applied to both. In this survey, we didn't go deeper into the deblurring topic.