SATURATED REGION RECOVERY IN TONE-MAPPED HDR IMAGES

被引:1
|
作者
Ulucan, Oguzhan [1 ]
Karakaya, Diclehan [1 ]
Turkan, Mehmet [1 ]
机构
[1] Izmir Univ Econ, Dept Elect & Elect Engn, Izmir, Turkey
来源
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2021年
关键词
Image restoration; image enhancement; linear embeddings; declipping; saturation correction; QUALITY ASSESSMENT;
D O I
10.1109/ICIP42928.2021.9506727
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Tone-mapping is one of the prevailing methods to overcome high dynamic range imaging limitations over low dynamic range display devices, but the tone-mapped output image may suffer from saturated regions with texture and color information loss. In this paper, a novel approach is proposed to solve the so-called clipping problem in tone-mapped high dynamic range images. A successful saturation correction framework, which relies on linear embeddings, difference of pixel intensities and gradient-guided block-search, is developed as a post-processing technique to tone-mapping. Experimental results demonstrate that the proposed method successfully recovers clipped regions for the saturation problem in tone-mapped output images while avoiding artifacts.
引用
收藏
页码:1774 / 1778
页数:5
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