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

来源：

JOURNAL OF REAL-TIME IMAGE PROCESSING | 2020年 / 17卷 / 03期

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

页码：459 / 469

页数：11

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