Impulse noise reduction using distance weighted average filter

2015 ◽  
Author(s):  
Seungin Baek ◽  
Soowoong Jeong ◽  
Jong-Soo Choi ◽  
Sangkeun Lee
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Weighted Average ◽  
Distance Weighted ◽  
Average Filter

The effect of attribute normalization factors in attribute distance weighted average

2017 ◽  
Vol 51 (2) ◽  
pp. 85-96 ◽  
Author(s):  
Gang Xiong ◽  
Jiming Lan ◽  
Haiyan Zhang ◽  
Tian-Huai Ding
Keyword(s):  
Weighted Average ◽  
Distance Weighted ◽  
Normalization Factors

scholarly journals Study and Analysis of Impulse Noise Reduction Filters

2011 ◽  
Vol 2 (1) ◽  
pp. 82-92 ◽  
Author(s):  
Geoffrine Judith.M.C ◽  
N Kumarasabapathy
Keyword(s):  
Noise Reduction ◽  
Impulse Noise

scholarly journals An efficient Scheme to Remove Low Density Impulse Noise From A Digital Image

2016 ◽  
Vol 15 (12) ◽  
pp. 7284-7289
Author(s):  
Dr. Jihad N. Abdeljalil Al-Balqa
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Low Density ◽  
Salt And Pepper Noise ◽  
Reduction Scheme ◽  
Iir Filter ◽  
Noise Impulse ◽  
Efficient Scheme ◽  
Adaptive Noise ◽  
Salt And Pepper

An improved adaptive noise reduction scheme for images that are highly corrupted by Salt-and-Pepper noise(impulse noise), is proposed in this paper which efficiently removes the salt and pepper noise while preserving the details. The proposed scheme efficiently identifies and reduces salt and pepper noise. The algorithm utilizes an IIR filter with controlled parameters to get better image quality than the existing methods of noise removing. A comparative analysis between the proposed scheme and other techniques of noise reduction or removing is presented in order to show the advantages of the proposed scheme in removing the noisy pixels and producing a better PSNR.

Image Interpolation Algorithm Based on Edge Features

2011 ◽  
Vol 50-51 ◽  
pp. 564-567
Author(s):  
Yun Feng Yang ◽  
Xiao Guang Wei ◽  
Zhi Xun Su
Keyword(s):  
Interpolation Method ◽  
Spline Interpolation ◽  
Weighted Average ◽  
Image Interpolation ◽  
Interpolation Process ◽  
Edge Information ◽  
B Spline ◽  
Interpolation Methods ◽  
Distance Weighted ◽  
Edge Features

Image interpolation is used widely in the computer vision. Holding edge information is main problem in the image interpolation. By using bilinear and bicubic B-spline interpolation methods, a novel image interpolation approach was proposed in this paper. Firstly, inverse distance weighted average method was used to reduce image’s noise. Secondly, edge detection operator was used to extract image's edges information. It can help us to select different interpolation methods in the image interpolation process. Finally, we selected bilinear interpolation approach at non-edge regions, and bicubic B-spline interpolation method was used near edges regions. Further more, control vertexes were computed from pixels with calculation formula which has been simplified in the B-spline interpolation process. Experiments showed the interpolated image by the proposed method had good vision results for it could hold image's edge information effectively.

3D distance-weighted Wiener filter for Poisson noise reduction in sinogram space for SPECT imaging

2001 ◽  
Author(s):  
Hongbing Lu ◽  
Jui-His Cheng ◽  
Guoping Han ◽  
Lihong Li ◽  
Zhengrong Liang
Keyword(s):  
Noise Reduction ◽  
Wiener Filter ◽  
Poisson Noise ◽  
Spect Imaging ◽  
Distance Weighted

Angle dependent effects for impulse noise reduction for hearing protectors.

2009 ◽  
Vol 126 (4) ◽  
pp. 2218
Author(s):  
William J. Murphy ◽  
Amir Khan ◽  
Edward L. Zechmann
Keyword(s):  
Noise Reduction ◽  
Impulse Noise ◽  
Hearing Protectors
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