Research On Hdr Image Generation With Single Exposure Image

In order to construct High Dynamic Range(HDR)image while capturing the image and convert the existing Low Dynamic Range(LDR)image into the HDR image.In this paper,a method of generating HDR image from a single exposure LDR image is proposed.The input LDR image is firstly decomposed into luminance channel and chrominance channel,which inspired by the property of the Human Visual System(HVS).Secondly,using inverse Tone Mapping Operators(iTMOs)to expand the luminance of LDR image.Then,the high light area of inverse tone mapped image is extended by Gaussian filter and erosion to simulate the light attenuation and preserve the details of image.Finally,adjusting the contrast and restrain noise of dark area of image in the merge of luminance image and chrominance image.The experiments show that the proposed method can get HDR image from a single LDR image,which performs well and fast.In this paper,a single exposure HDR image generation algorithm based on detail layer separation is proposed for the problem of insufficient detail information of single exposure LDR image.The algorithm combines the human vision system to separate the LDR image from the luminance component and the chrominance component.The component of the separated luminance component is corrected by gamma correction,and then the filtering operation is performed on the image after the gamma correction,The detail layer and the base layer are then separated,and the inverse tone mapping is performed separately to obtain a new luminance component..Finally,the image components are fused to obtain the final HDR image.Experiments show that the algorithm can excavate some hidden image detail information,the processing effect is better,the operation efficiency is high,and the robustness is better.