| Abstract |
| By fusing a sequence of exposure images, we could
generate a high dynamic range (HDR) image and enhance the
image details. However, to display the HDR image on a low
dynamic range (LDR) device, HDR compression is necessary. In
the paper, a new method for HDR Compression based on matting
Laplacian is proposed. The major assumption behind is that the
tone-mapped LDR image must preserve the HDR local structure
so that the image details could be well represented. Precisely, we
treat the HDR image as a guidance image and embed the object
structure of the HDR image into a matting Laplacian matrix.
Further, we formulate HDR compression as an optimization
problem. Through incorporating the matting Laplacian matrix
into the objective function, the optimal LDR image is forced to
have the similar local structures like the HDR image. Our
experiments show the extracted LDR image could enhance the
image details well without introducing severe edge effects or
color artifacts. |