Extensive Experimental Analysis of Image Statistical Measures for Image Processing Appliances

Rashid, Ayesha; Rahim, Muhammad Khurrum

doi:10.14257/ijsip.2016.9.3.05

Cited by 2 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is seen that eight-piece photograph, the standard incentive for pepper commotion is 0 and salt clamor is 255. Commotion of 'salt and pepper' is the most important part of direct result for failing of pixel factors inside the digicam sensors, defective memory areas or timing botches inside the digitization framework (Rashidi & Rahimz, 2016).…”

Section: Salt and Pepper Noisementioning

confidence: 99%

Statistical Analysis of Image with Various Noises and Filters

Khan¹,

Sadiq

Khurshid³

2020

J. Info. Tech. Comp.

View full text Add to dashboard Cite

Research displays an extensive investigation for different factual statistical estimates and their practical implementation in picture handling with various noises and filter channel procedures. Noise is very challenging to take out it from the digital images. The purpose of image filtering is to eliminate the noise from the image in such a way that the new image is detectible. We have clarified different calculations and systems for channel the pictures and which calculation is the best for sifting the picture. Signal and maximum Peak proportion parameters are utilized for execution for factual estimating, Wiener channel performs preferred in evacuating clamor over different channels. Wiener channel functions admirably for a wide range of clamors. The exhibition of Gaussian channel is superior to anything Mean channel, Mask Filter and Wiener channel as per MSE results. In picture setting up, a Gaussian fog generally called Gaussian smoothing is the result of darkening an image by a Gaussian limit. We reason that Gaussian separating approach is the best method that can be effectively actualized with the assistance of the MSE of picture. The Gaussian channel is certifiably superior to different calculations at expelling clamor. The outcomes have been looked at for channels utilizing SNR, PSNR and Mean Square Error esteem.

show abstract

Section: Salt and Pepper Noisementioning

confidence: 99%

Statistical Analysis of Image with Various Noises and Filters

Khan¹,

Sadiq

Khurshid³

2020

J. Info. Tech. Comp.

View full text Add to dashboard Cite

show abstract

“…Rashid et al, provided a detailed study for selecting of image processing and computer evaluate performance then compared the results and gave a better evaluation trend. For the implemented study of restoration, and elimination of noise, adding noise, then they estimated of statistical results, a certain amount of different types of noise have been added to the image, and a filtering process is carried out for the examination of the effect [19].…”

Section: Literature Reviewmentioning

confidence: 99%