Tone mapping based on fast image decomposition and multi‐layer fusion
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 bas...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2015.0047 |
| _version_ | 1797684922343751680 |
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| author | Huameng Fang Benshun Yi Yongqin Zhang Qiuying Xie |
| author_facet | Huameng Fang Benshun Yi Yongqin Zhang Qiuying Xie |
| author_sort | Huameng Fang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T00:36:48Z |
| format | Article |
| id | doaj.art-09552ada053040ada62e05d05f77e84b |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:36:48Z |
| publishDate | 2015-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-09552ada053040ada62e05d05f77e84b2023-09-15T09:29:28ZengWileyIET Computer Vision1751-96321751-96402015-12-019693794210.1049/iet-cvi.2015.0047Tone mapping based on fast image decomposition and multi‐layer fusionHuameng Fang0Benshun Yi1Yongqin Zhang2Qiuying Xie3School of Electronic InformationWuhan UniversityWuhan430072People's Republic of ChinaSchool of Electronic InformationWuhan UniversityWuhan430072People's Republic of ChinaSchool of Information Science and TechnologyNorthwest UniversityXi'an710127People's Republic of ChinaSchool of Electronic InformationWuhan UniversityWuhan430072People's Republic of ChinaTo 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.https://doi.org/10.1049/iet-cvi.2015.0047multilayer fusionhigh dynamic range imagestone mapping algorithmimproved guided image filtering methodsimulated camera response functionhalo effect reduction |
| spellingShingle | Huameng Fang Benshun Yi Yongqin Zhang Qiuying Xie Tone mapping based on fast image decomposition and multi‐layer fusion IET Computer Vision multilayer fusion high dynamic range images tone mapping algorithm improved guided image filtering method simulated camera response function halo effect reduction |
| title | Tone mapping based on fast image decomposition and multi‐layer fusion |
| title_full | Tone mapping based on fast image decomposition and multi‐layer fusion |
| title_fullStr | Tone mapping based on fast image decomposition and multi‐layer fusion |
| title_full_unstemmed | Tone mapping based on fast image decomposition and multi‐layer fusion |
| title_short | Tone mapping based on fast image decomposition and multi‐layer fusion |
| title_sort | tone mapping based on fast image decomposition and multi layer fusion |
| topic | multilayer fusion high dynamic range images tone mapping algorithm improved guided image filtering method simulated camera response function halo effect reduction |
| url | https://doi.org/10.1049/iet-cvi.2015.0047 |
| work_keys_str_mv | AT huamengfang tonemappingbasedonfastimagedecompositionandmultilayerfusion AT benshunyi tonemappingbasedonfastimagedecompositionandmultilayerfusion AT yongqinzhang tonemappingbasedonfastimagedecompositionandmultilayerfusion AT qiuyingxie tonemappingbasedonfastimagedecompositionandmultilayerfusion |