Tone mapping based on fast image decomposition and multi‐layer fusion. Issue 6 (1st December 2015)

• Record Type: Journal Article
• Authors: Fang, Huameng; Yi, Benshun; Zhang, Yongqin; Xie, Qiuying
• Is Part Of: IET computer vision. Volume 9:Issue 6(2015)
• Page Start: 937
• Page End: 942
• Publication Date: 2015-12-01
• Subjects: image fusion -- image colour analysis -- image filtering -- image denoising; multilayer fusion -- high dynamic range images -- tone mapping algorithm -- improved guided image filtering method -- simulated camera response function -- halo effect reduction -- colour balance correction method -- colour distortion suppression -- HDR fast image decomposition; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2015.0047
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : To solve the problem of low efficiency and colour distortion in several typical tone mapping operators for high dynamic range (HDR) images, the authors propose a novel tone mapping algorithm based on fast image decomposition and multi‐layer fusion. An input HDR image is firstly decomposed into a base layer and a detail layer by an improved guided filtering method. For the base layer, its dynamic range is compressed by the simulated camera response function. For the detail layer, it is enhanced to produce more fine structures and reduce halo effect by applying the guided image filter. The colour balance correction method is adopted to suppress colour distortion. The experiments on HDR images demonstrate that the proposed technique could bring better brightness, contrast, and visibility with less halo effect than other state‐of‐the‐art methods both qualitatively and quantitatively in most cases.