A hybrid spectral gradient method for removing salt-and-pepper impulse noise

2011 ◽  
Author(s):  
Gaohang Yu ◽  
Shanzhou Niu ◽  
Jianhua Ma
Keyword(s):  
Gradient Method ◽  
Impulse Noise ◽  
Spectral Gradient Method ◽  
Salt And Pepper

Enhancing the Performance of One Dimensional Median Filter

2019 ◽  
Vol 118 (7) ◽  
pp. 73-76
Author(s):  
Sharanabasappa ◽  
P Ravibabu
Keyword(s):  
Impulse Noise ◽  
Rank Order ◽  
Median Filter ◽  
Filter Method ◽  
Salt And Pepper Noise ◽  
Edge Preservation ◽  
Word Level ◽  
Look Ahead ◽  
Filter Architecture ◽  
Salt And Pepper

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter  in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

scholarly journals A NEW DENOISING APPROACH FOR THE REMOVAL OF IMPULSE NOISE FROM COLOR IMAGES AND VIDEO SEQUENCES

2012 ◽  
Vol 31 (3) ◽  
pp. 185 ◽  
Author(s):  
Rajamani Arumugham ◽  
Krishnaveni Vellingiri ◽  
Wassim Ferose Habeebrakuman ◽  
Kalaikamal Mohan
Keyword(s):  
Impulse Noise ◽  
Visual Quality ◽  
Color Images ◽  
Video Sequences ◽  
Computational Time ◽  
Sorting Algorithm ◽  
Salt And Pepper Noise ◽  
Video Signals ◽  
Salt And Pepper

In this paper a novel Lone Diagonal Sorting (LDS) algorithm for denoising color images and videos co-rrupted with salt and pepper noise is proposed. The proposed lone diagonal sorting algorithm uses diagonal sorting alone for denoising of impulse noise. The algorithm has been implemented and tested for various color images and video signals and appreciable performance in terms of PSNR, MSE and SSIM is obtained. Our algorithm has been compared with other standard algorithms. A drastic improvement in the computational time has been achieved without compromising much on the visual quality after reconstruction.

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.

Impulse noise removal by a nonmonotone adaptive gradient method

2010 ◽  
Vol 90 (10) ◽  
pp. 2891-2897 ◽  
Author(s):  
Gaohang Yu ◽  
Liqun Qi ◽  
Yimin Sun ◽  
Yi Zhou
Keyword(s):  
Gradient Method ◽  
Impulse Noise ◽  
Noise Removal ◽  
Impulse Noise Removal

scholarly journals High Density Impulse Noise Removal using Advanced Median Filter for Preserving Image Quality Metrics

2019 ◽  
Vol 8 (4) ◽  
pp. 11909-11914
Keyword(s):  
Image Quality ◽  
Impulse Noise ◽  
Signal To Noise Ratio ◽  
Median Filter ◽  
Noise Removal ◽  
Quality Metrics ◽  
High Density ◽  
Image Quality Metrics ◽  
Neighboring Pixel ◽  
Salt And Pepper

In this work, a procedure to remove the high density salt and pepper noise from a corrupted image is developed and to compare the output image with the original image through the image quality metrics. As a common practice the corrupted pixels are replaced by the median of neighboring pixel values by considering a constant number of neighboring pixels. But in this proposed method the corrupted pixels are identified and are replaced by the median of the neighboring pixel values which are adjustable, to preserve and improve the image quality metrics. This method makes a comparison between the corrupted and uncorrupted pixels and performs the median filtering process only on the corrupted ones. In this work a 3x3, 5x5 and 7x7 square neighborhood are used. The output images are observed with low neighborhood as well as high neighborhood pixel values. The calculation of PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) value for each dimension with different percentages are considered for the comparative analysis

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