Real-time impulse noise removal

被引:7
|
作者
Gokcen, Alpaslan [1 ]
Kalyoncu, Cem [1 ]
机构
[1] European Univ Lefke, Dept Comp Engn, TR-10 Mersin, Lefke, Northern Cyprus, Turkey
关键词
Impulse noise removal; Cuda; Real-time denoising; High definition; SWITCHING MEDIAN FILTER; WEIGHTED MEAN FILTER; PEPPER NOISE; IMAGES; MODEL; REDUCTION;
D O I
10.1007/s11554-018-0791-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An adaptive interpolation-based impulse noise removal (AIBINR) algorithm is proposed to remove impulse noise from color and gray-scale images in real time. AIBINR works fast and has no need for parameter tuning to remove fixed-valued impulse noise. A GPU application has been developed to demonstrate the speed and inherent parallelization capabilities of the proposed method. Using the high-speed implementation, we have shown that AIBINR can denoise color images fast enough to be used in real-time video denoising, while having comparable denoising performance when compared to the state-of-the-art methods without any modification to its parameters.
引用
收藏
页码:459 / 469
页数:11
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