2018/12/21 by Thomas Köhler, Köhler, Thomas
Computer Science · Engineering · Physics and Astronomy · #Advanced Image Processing Techniques #Advanced Optical Sensing Technologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods
paper · pdf · doi:10.48550/arxiv.1812.09375
openalex publication_date 2018/12/21 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
The optical resolution of a digital camera is one of its most crucial\nparameters with broad relevance for consumer electronics, surveillance systems,\nremote sensing, or medical imaging. However, resolution is physically limited\nby the optics and sensor characteristics. In addition, practical and economic\nreasons often stipulate the use of out-dated or low-cost hardware.\nSuper-resolution is a class of retrospective techniques that aims at\nhigh-resolution imagery by means of software. Multi-frame algorithms approach\nthis task by fusing multiple low-resolution frames to reconstruct\nhigh-resolution images. This work covers novel super-resolution methods along\nwith new applications in medical imaging.\n