IMPROVED targets studies and tuning of a new generation of tools dedicated to image and video enhancement, for police investigations, while keeping their ability to be used as evidence and respecting individual liberties. The project aims at bridging the gaps encountered by Scientific Police in the field of video enhancement for getting relevant evidence. New video sources, in addition to video surveillance cameras are now available, such as images from smartphones, dashcams or wearable cameras. These devices bring their own sensor characteristics, and video coding features and parameters, thus increasing the difficulties. Enhancement algorithms, especially those relying on Artificial Intelligence, set questions regarding their receivability as legal evidence, due to their black box like design. Image enhancements must consider rights and fundamental principles, in particular loyalty of the legal evidence, and guaranty explainability of the used algorithms. For this, in IMPROVED an interdisciplinary work will be performed between algorithmists and lawyers of the project, with the aim to check, for each enhancement algorithm, whether the processing did not alter the capacity of images to be considered as legal evidence. The project will study new algorithmic directions, such as explainable AI, for making system behaviour more understandable, while providing explanations at each processing step. These algorithmic studies target going beyond the state-of-the-art in image enhancement, while addressing challenges related to new generations of video coding and image sources.