0000000001062599
AUTHOR
Mustapha Bouderbane
Système de vision à haute gamme dynamique auto adaptable
High dynamic range (HDR) image generation using temporal exposure bracketing is widely used to recover the whole dynamic range of a filmed scene by fusion of two or more low dynamic range (LDR) images. Temporal exposure bracketing technique should be employed for static scenes and it cannot be applied directly for dynamic scenes. Motions introduced by moving objects in the LDR stack images create ghosts artifacts in the reconstructed HDR image. In this thesis, we have studied and evaluated a large nuber of algorithms used to correct or avoid these artifacts and we mad a trade-off between robustness and complexity in order to propose a real-time HDR video generation system.The real-time HDR …
Overview of ghost correction for HDR video stream generation
International audience; Most digital cameras use low dynamic range image sensors, these LDR sensors can capture only a limited luminance dynamic range of the scene[1], to about two orders of magnitude (about 256 to 1024 levels). However, the dynamic range of real-world scenes varies over several orders of magnitude (10.000 levels). To overcome this limitation, several methods exist for creating high dynamic range (HDR) image (expensive method uses dedicated HDR image sensor and low-cost solutions using a conventional LDR image sensor). Large number of low-cost solutions applies a temporal exposure bracketing. The HDR image may be constructed with a HDR standard method (an additional step ca…