Non-uniformity correction algorithm based on weighted guided filter and temporal high-pass filter

Qian Runda; Zhao Dong; Zhou Huixin; Yu Junna; Wang Shicheng; Rong Shenghui

doi:10.3788/IRLA201847.1204001

The drawbacks of traditional temporal high pass filter were ghost artifacts and fixed pattern noise can't be removed completely. A non-uniformity correction algorithm that combines weighted guided filter and improved temporal high pass filter was proposed. Firstly, weighted guided filter was used to separate spatial high frequent components from infrared images accurately. Then, the change amplitude of every pixel value was calculated. Finally, different time constants were applied to motion regions and static regions to conduct non-uniformity correction. Two real infrared sequences were adopted in experiments, and space low-pass and temporal high-pass(SLTH) as well as bilateral filter based temporal high-pass filter(BFTH) were used to compare with the proposed algorithm. The experimental results show that the proposed algorithm is superior to the other two algorithms in subjective visual effect and objective evaluation inder. The proposed algorithm can reduce non-uniformity without causing ghost artifacts and achieves a better effect of non-uniformity correction.

Non-uniformity correction algorithm based on weighted guided filter and temporal high-pass filter

1. School of Physics and Optoelectronic Engineering,Xidian University,Xi'an 710071,China;

2. The 54 th Research Institute of China Elecronics Technology Group Corporation,Shijiazhuang 050081,China

Received Date: 2018-07-05

Rev Recd Date: 2018-08-15

Publish Date: 2018-12-25

Key words:

Abstract: The drawbacks of traditional temporal high pass filter were ghost artifacts and fixed pattern noise can't be removed completely. A non-uniformity correction algorithm that combines weighted guided filter and improved temporal high pass filter was proposed. Firstly, weighted guided filter was used to separate spatial high frequent components from infrared images accurately. Then, the change amplitude of every pixel value was calculated. Finally, different time constants were applied to motion regions and static regions to conduct non-uniformity correction. Two real infrared sequences were adopted in experiments, and space low-pass and temporal high-pass(SLTH) as well as bilateral filter based temporal high-pass filter(BFTH) were used to compare with the proposed algorithm. The experimental results show that the proposed algorithm is superior to the other two algorithms in subjective visual effect and objective evaluation inder. The proposed algorithm can reduce non-uniformity without causing ghost artifacts and achieves a better effect of non-uniformity correction.

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Reference (12)

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Non-uniformity correction algorithm based on weighted guided filter and temporal high-pass filter

doi: 10.3788/IRLA201847.1204001

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