Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation

Dasgupta, Poorna Banerjee

doi:10.14445/22312803/ijctt-v17p123

Search citation statements

Order By: Relevance

Paper Sections

Select...

Speckle Noises1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2015

2020

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Speckle noise can also be called the multiplicative noise of the image pixel values as the multiplications of random values can determine it. Speckle noise can be removed from images using adaptive and non-adaptive filters, with the mean filter method being the best technique for doing so [14] [15].…”

Section: Speckle Noisesmentioning

confidence: 99%

Proposed De-noising Algorithm

Ali¹,

Shaikhli²

2020

IJPCC

View full text Add to dashboard Cite

minimizing noises from images to restore it and increase its quality is a crucial step. For this, an efficient algorithms were proposed to remove noises such as (salt pepper, Gaussian, and speckle) noises from grayscale images. The algorithm did that by selecting a window measuring 3x3 as the center of processing pixels, other algorithms did that by using median filter (MF), adopted median filter (AMF), adopted weighted filter (AWF), and the adopted weighted median filter (AWMF). The results showed that the proposed algorithm compares to previous algorithms by having a better signal-to-noise ratio (PSNR).

show abstract

Section: Speckle Noisesmentioning

confidence: 99%

Proposed De-noising Algorithm

Ali¹,

Shaikhli²

2020

IJPCC

View full text Add to dashboard Cite

show abstract

Order Static Filter and Histogram Equalization are in Pipe Line for Noise Removal

Agarwal¹,

Kumar²,

Jayaswal³

2015

IJCA

View full text Add to dashboard Cite

Whenever an image is reconstructed, the quality of reconstructed image is calculated in terms of various quality parameters. MSE is considered as one of the most reliable and widely used quality parameter; however, we are using a new universal image quality index Q, which proves to be better than MSE. An improvisation of the same has also been proposed in this paper. General TermsTypes of noise, filtering, image de-noising.

show abstract

Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation

Cited by 2 publications

References 4 publications

Proposed De-noising Algorithm

Proposed De-noising Algorithm

Order Static Filter and Histogram Equalization are in Pipe Line for Noise Removal

Contact Info

Product

Resources

About