Super Resolution of depth map and colour balance for under water image

Abstract

High-definition display technology for underwater images is of great significance for many newline newlineapplications, such as marine animal observation, seabed mining, and marine fishery pro- newlineduction. The traditional underwater visual display systems have problems, such as low newline newlinevisibility, poor real-time performance, and low resolution, and cannot meet the needs newlineof real-time high-definition displays in extreme environments. To solve these issues, we newline newlinepropose an underwater image enhancement method and a corresponding image super- newlineresolution algorithm. To improve the quality of underwater images, a novel strategy to newline newlineenhance underwater images degraded due to the medium scattering and absorption are newlineintroduced in here. It is well known that a single image approach that does not require newlinespecialized hardware or knowledge about underwater condition or scene structure hence newlinecolor balance and fusion principle like strategy is derived for inputs and weight measures newline newlineonly from degraded version of the images captured in underwater. Multi-scale fusion strat- newlineegy may be powerful tool to sharpen weight map transition, which creates artifacts in the newline newlinelow frequency components of the reconstructed image. Here we have also discussed about newlineenhanced images and videos, which are also characterized by reduced noise level, better newlineexposedness of dark regions, improved global contrast while finest details and edges which newlineare enhanced significantly. Related Algorithm discussed in literatures are also address in newlinethis report. Reasonably independent of camera settings and it s improved accuracy of newline newlineseveral image processing application such as image segmentation, image matching by lo- newlinecal feature points and image unbalancing are the thirst area for researchers. Underwater newline newlineimaging can provide photo quality visual images for submerged elements for structural newlineinspection documentation channel bottom elevation and material texture information for newlinescour monitoring during flood events spatial understanding for repair design activities and newline newlineconstruction observa