Global Edge-Preserving Multiscale Decomposition for High Dynamic Range Image

Abstract: High Dynamic Range (HDR) imaging is an area of increasing importance of display devices still has Limited Dynamic Range (LDR). Multiscale Decomposition image processing techniques have a reputation of causing halo artifacts when used for range compression. The synthesized Standard Dynamic Range (SDR) image contains much more scene details than any of the captured SDR image. The edge-preserving image decompositions assume image detail to be low contrast variation. This paper proposes a new method of balanced analysis-mixture filters applies with local gain control to the sub-bands systems for decomposing and reconstructing images. The Gradient-domain based algorithm on the properties of HVS for high dynamic range compression. Experimental results on real images demonstrate that our algorithm is especially effective at preserving or enhancing local details.

Keywords: Edge-preserving filter, halo artifacts, image decomposition, sub band systems.