Image Super-Resolution Algorithm Based UAV Forensics Method

The continuous development of modern intelligent drone technology has brought a lot of convenience to our life and work. Drones have the advantages of small size and sensitive operation, which can help people to complete many difficult or dangerous work, especially in police-related work shows strong advantages, can meet the evolving needs of investigation and evidence collection, such as aerial investigation, search and rescue and on-site forensics. At the scene of the crime, police officers can operate drones to take aerial images of the scene, these images are important data information for on-site analysis and investigation and forensics. In practice, due to the impact of hardware and environmental factors, the images obtained by drones sometimes appear distorted, blurred and low resolution, making police officers face practical difficulties in further investigation and forensics work. In order to effectively solve the image problem in UAV forensics, we describe an automatic image processing framework based on image resolution reconstruction to help police officers carry out UAV image investigation and forensics work.