on the image the high dynamic range image synthesis includes the following steps capturing low dynamic range images with different exposures registering the low dynamic range images estimating camera response function converting the low dynamic range images to temporary radiance images using estimated camera response function and fusing the temporary radiance images into a single high dynamic range image by employing a method of layered masking application_number US 201113574919 A description the invention will now be described in greater detail with reference to the figures with respect to fig1 the general steps of a high dynamic range hdr synthesis according to the invention are described the first step of a high dynamic range hdr synthesis according to the invention is to capture several low dynamic range ldr images with different exposures at step 10 this is usually done by varying the shutter speed of a camera such that each ldr image captures a specific range of a high dynamic range hdr scene in subsequent step 12 all images are registered such to eliminate the effect of global motion in general the image registration process transforms the ldr images into a one coordinate system in order to compare or integrate the ldr images this can be done with a binary transform map for example when there is local motion between selected ldr images registration between ldr images can still be done effectively as well as the camera response curve estimation however the fusion process is sometimes problematic because of the uncertainty of local motion ghosting artifacts can be observed if the fusion method fails fig2 b illustrates ghosting artifacts in a high dynamic range hdr.