Today’s interest in applications like pattern recognition and computer vision makes image processing algorithms of great importance. However, the rapidly increasing volume of visual information weighs on the computational capabilities currently available in classical computers. Quantum Image Processing (QImP) focuses on providing a counterpart of conventional image processing strategies in the Quantum Computing domain, exploiting its intrinsic parallel nature. Over the years, many QImP algorithms have been proposed to encode and process images using quantum formalism. Despite this, in the state-of-the-art, not enough room is given for direct and practical comparisons between the available techniques. Therefore, difficulties arise when trying to understand whether they represent effective opportunities with respect to classical counterparts, especially when considering the limitations and non-idealities of nowadays quantum hardware.