Arrayed hybrid filter/coupler device for inservice fibre line testing

1993 ◽  
Vol 29 (20) ◽  
pp. 1786 ◽  
Author(s):  
T. Oguchi ◽  
F. Hanawa ◽  
N. Takato ◽  
N. Tomita ◽  
N. Atobe
Keyword(s):  
Hybrid Filter ◽  
Coupler Device

Image Denoising Using Hybrid Filter

2012 ◽  
Author(s):  
Vinod Kumar ◽  
Anil Kumar ◽  
Pushparaj Pal
Keyword(s):  
Image Denoising ◽  
Hybrid Filter

Design and Performance of a Transformerless Shunt Hybrid Filter Integrated Into a Three-Phase Diode Rectifier

2007 ◽  
Vol 22 (5) ◽  
pp. 1882-1889 ◽  
Author(s):  
Wiroj Tangtheerajaroonwong ◽  
Takaaki Hatada ◽  
Keiji Wada ◽  
Hirofumi Akagi
Keyword(s):  
Hybrid Filter ◽  
Three Phase ◽  
And Performance

High-strength greywater treatment in compact hybrid filter systems with alternative substrates

2012 ◽  
Vol 49 ◽  
pp. 84-92 ◽  
Author(s):  
Kristjan Karabelnik ◽  
Margit Kõiv ◽  
Kuno Kasak ◽  
Petter D. Jenssen ◽  
Ülo Mander
Keyword(s):  
High Strength ◽  
Hybrid Filter ◽  
Alternative Substrates

scholarly journals Image Denoising Using Discrete Wavelet Transform : A Theoretical Framework

2018 ◽  
Vol 7 (2.16) ◽  
pp. 120
Author(s):  
Praveen Bhargava ◽  
Shruti Choubey ◽  
Rakesh Kumar Bhujade ◽  
Nilesh Jain
Keyword(s):  
Image Denoising ◽  
Ultra Sound ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Hybrid Filter ◽  
Edge Sharpness ◽  
In Series ◽  
Salt And Pepper ◽  
Image Type

Noise is a random variation in brightness and color in image or simply we can say that unwanted signals are called noise. The noise is mixed with original signal and cause may troubles. Due to the presence of noise, quality of image is reduced and other features like edge sharpness and pattern recognition are badly affected. In image denoising methods to improve the results a hybrid filter is used for better visualization. The hybrid filter is composed with the combination of three filters connected in series. The hybridization has performed much better in case of salt and pepper type of noise and for most of the medical image type, either MRI, CT, SPECT, Ultra Sound. PSNR values show major improvement in comparison of other existing methods. Future, the results obtained from the presented denoising experiments would be tried to be improved further by using this method with other transform domain methods. Finally, the results are concluded that the proposed approach in terms of PSNR, MSE improvement is outperformed. 

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