Researchers at Xi’an Technological University Release New Data on Network Monitoring and Controls (Super-resolution Image Reconstruction Based on Double Regression Network Model)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Researchersdetail new data in network monitoring and controls. According to news reporting originating from Xi’an,People’s Republic of China, by NewsRx correspondents, research stated, “By learning nonlinear mappingfunctions from low resolution (LR) images to high resolution (HR) images, deep neural networks showgood performance in image super-resolution (SR).”Our news editors obtained a quote from the research from Xi’an Technological University: “However,the existing SR approach has two potential limitations. First, learning the mapping function from LR toHR images is usually an ill-conditioned problem, since there exist an infinite number of HR images thatcan be down-sampled to the same LR image. Thus, the space of possible functions can be very large,making it difficult to find a good solution. Second, paired LR-HR data may not be available in real-worldapplications, and the underlying degradation method is often unknown. For this more general case, existingSR models tend to generate adaptive problems and produce poor performance.”