Hua Bai
ABSTRACT
In the field of scientific research, there are high requirements for image quality. In recent years, the emergence of scientific CMOS (sCMOS) cameras has provided a favorable tool for this demand, but when applied in special circumstances, there is inevitably appearing fixed pattern noises (FPN), damaging image details. This paper presents a new method for detecting FPN and correcting the detected results adaptively in images. The detection algorithm is divided into dark-scene detection and illuminated- scene detection, dark-scene detection makes use of the simulation of FPN detection, the detection accuracy is up to 99.13%. For the illuminated-scene detection requirements, an adaptive threshold algorithm is proposed. Based on the FPN detection results, performing a 3x3 window median grayscale substitution algorithm to correct them one by one. The experimental results show that the algorithm can detect the position coordinate information of FPN accurately, remove the influence of FPN effectively, and can be widely applied to sCMOS cameras with high requirements for image quality.
- Sun, H. H., He, S. W., Wu, P., and Wang, Y. J., Design and imaging analysis of high dynamic scientific CMOS camera. liquid crystals & display, 2017, 32(03): 240--248.Google Scholar
- Jin, L., A highly reliable and super-speed optical fiber transmission for hyper -spectral SCMOS camera. Optik - International Journal for Light and Electron Optics, 2016, 127 (3).Google Scholar
- Ling, Y. G., Technology Group Limited Company. The advantages of SCMOS camera cameras compared to CCD cameras. DOI= http://www.vision17.net/hscamera-Article-525913,2013-7-19.Google Scholar
- Anonymous. sCMOS technology: High Dynamic Range Imaging with sCMOS (Scientific CMOS); Andor Technology, Fairchild Imaging and PCO adapt CMOS technology specially for the needs of scientific imaging. M2 Presswire, 2009.Google Scholar
- Han, X. W., Fan, Linan, Li, Y. S., and Xu, X. H., A selective and adaptive image filtering approach based on impulse noise detection. Computer Engineering and Applications, 2004, (27): 102--104.Google Scholar
- Hu, Y. L., Ji, H. J., and Wu, F., et al. Research on image median filtering algorithm and its FPGA implementation. Computer Measurement and Control, 2008, 16 (11): 1672--1675.Google Scholar
- Yan, C. and Wang, S. T., A median filtering method based on impulse noise detection. Research on Computer Applications, 2009, 26(05): 1994--1996.Google Scholar
- Qian, F., Jia, J. J., Zhang, L., and Wang, J. Y., Nonuniformity correction of spot-detecting camera in satellite-to-ground laser communication ATP system. China Laser, 2014, (05): 139--145.Google Scholar
- Guo, H. W., Yu, J., Luo, H. J., and Zhang Z. H., Adaptive iterative control for random values impulse noise filtering. Computer Engineering and Applications, 2011, 47(34): 193--195.Google Scholar
- Jiang, J. L., Yang, J., Cui, Y., and Luo. L., Mixed noise removal by weighted low rank model. Neurocomputing, 2015, 151.Google Scholar
- Xiong Y. Y., Image filtering algorithm based on extreme value-mean noise detection. Electronic World, 2016(14):120--121.Google Scholar
- Junichi, N., Image sensors and signal processing for digital still cameras.taylor and francis. 2005. 66--69.Google Scholar
- Emva Standard 1288: Standard for characterization of image sensors and cameras. release 3.0, 2010. 11.Google Scholar
- Fan Y. R., Camera performance test and EMVA1288 standard. Vision and Imaging Devices Division.Google Scholar
- Chen. J., A method to remove random noise in grayscale and color images. Chinese Society for Image Graphics. Proceedings of the 14th National Conference on Image Graphics. China Image Graphics Academic Society. 2008: 5.Google Scholar
Index Terms
- Adaptive Detection and Correction of Fixed Pattern Noise in sCMOS Cameras
Recommendations
Persymmetric adaptive detection in subspace interference plus gaussian noise
AbstractWe consider the problem of detecting point-like targets in the presence of interference and Gaussian noise. The target and interference are described by subspace models where the target and interference subspaces are linearly independent. ...
Multichannel signal detection in interference and noise when signal mismatch happens
AbstractIn this paper, we consider the problem of detecting a multichannel signal in interference and noise when signal mismatch happens. We first propose two selective detectors, since their strong selectivity is preferred in some situations. However, ...
Multichannel adaptive signal detection in structural nonhomogeneous environment characterized by the generalized eigenrelation
We investigate adaptive signal detection in GER structure nonhomogeneity.Three adaptive detectors are proposed.Extensive performance evaluation is carried out.Useful results are obtained. In this paper, we investigate the problem of detecting a ...
Comments