Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform
Multi-pixel photon counting detectors can produce images in low-light environments based on passive photon counting technology. However, the resulting images suffer from problems such as low contrast, low brightness, and some unknown noise distribution. To achieve a better visual effect, this paper...
Main Authors: | Xuan Wang, Liju Yin, Mingliang Gao, Zhenzhou Wang, Jin Shen, Guofeng Zou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/11/2462 |
Similar Items
-
A New Method for Detecting Architectural Distortion in Mammograms by NonSubsampled Contourlet Transform and Improved PCNN
by: Guangming Du, et al.
Published: (2019-11-01) -
The NSCT-HMT Model of Remote Sensing Image Based on Gaussian-Cauchy Mixture Distribution
by: Xianghai Wang, et al.
Published: (2018-01-01) -
Boosting of Denoising Effect with Fusion Strategy
by: Fangjia Yang, et al.
Published: (2020-06-01) -
Fusion of Unmanned Aerial Vehicle Panchromatic and Hyperspectral Images Combining Joint Skewness-Kurtosis Figures and a Non-Subsampled Contourlet Transform
by: Jinling Zhao, et al.
Published: (2018-10-01) -
The Effects of Spectral X-Ray Photon Counting Detector Parameters on Detector Performance: Thickness and Pitch
by: Oliver Len Paul Pickford Scienti, et al.
Published: (2020-01-01)