Low to High Dynamic Image Reconstruction

To acquire a wide dynamic range, High Dynamic Range (HDR) photographs are difficult for the majority of people to access since they need to be created with pricey tools that can function outside the parameters of conventional camera sensor technology. Multiple exposure fusion (MEF) methods that create multi-exposure Low Dynamic Range (LDR) images have been developed to eliminate these limitations. An HDR image is produced by combining the photographs. The HDR picture is created by combining features with wider brightness ranges with the suggested multi-stage deep learning network, which brightens bright regions and darkens dark ones. Use the deep learning technique presented in this research study to separate the bright and dark regions of a large number of LDR photos and reconstruct them into an HDR image. When a certain detail is absent from the images that were taken at the crime scene, this strategy might be employed in a criminal investigation. The proposed approach complies with the tone mapping method. The proposed method produces an image with properties of High Dynamic Range photo with increased exposure and brightness of the highly dense pixels.