Müller, ThomasThomasMüller2022-03-142022-03-142020https://publica.fraunhofer.de/handle/publica/40842410.1117/12.2558699Camera images often contain more information than the human eye can notice. Despite numerous influences degrading image quality, there is potentially some information present or there are at least traces in the image data which would be interesting to be examined but which are below a recognition threshold. And quite often hard to see information needs to be extracted from degraded images or image parts. This paper focuses on making such information visible. First, a novel dedicated retinex algorithm uncovers hidden details due to low contrast. Unlike other retinex variants, it does not only improve the contrast in dark image regions but at any gray value or color level. Additionally, it avoids halo effects to a high degree. Second, a dedicated image sharpening method uncovers hidden details due to blurring or haziness and clarifies washed-out details. In comparison to known methods this is done more effectively while image noise and compression artifacts are significantly less increased. Both proposed image enhancement methods are easy to implement. The given results show them to be powerful to uncover image details and to increase the amount of obtained visualized information, which eventually improves the visual range of the camera.enimage enhancementcontrast enhancementretineximage sharpeningdetail uncoveringvisual range improvementvideo surveillance004670conference paper