A Review : Noise System in MATLAB

Authors

  • Surbhi Sharma  Department of Computer Science and Engineering, Aryabhatta College of Engineering and Research Centre, Ajmer, Rajasthan, India
  • Jitendra Raj Kumawat  Department of Computer Science and Engineering, Aryabhatta College of Engineering and Research Centre, Ajmer, Rajasthan, India

Keywords:

Noise; Image Processing; Frequency Spectrum; MSE; PSNR.

Abstract

Noise is an important factor that influences image quality?which is mainly produced in the processes of image acquirement and transmission. Noise reduction is necessary for us to do image processing and image interpretation to acquire useful information that we want. Because the working status of image transmitter is influenced by varied of factors, such as the environment of image acquired, different noises can be dealt with in different ways. Through the analysis of image spectrum, its difference can help us to choose different methods to do noise reduction while the information of the image is reduced to be the most. This paper illustrates some methods of noise reduction and takes one test image as an example. Since this image was affected by notable striping, the noise reduction methods of this stripped image are mainly studied. Grounded on the previous studies by some experts, we have applied some algorithms to this image. The Gray Value Substitution and Wavelet Transformation are satisfactory in stripped noise reduction. Then, MSR and PSNR are calculated to evaluate the processed image. Results suggest that the methods used in this paper are suitable in processing this noise.

References

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Published

2017-08-31

Issue

Section

Research Articles

How to Cite

[1]
Surbhi Sharma, Jitendra Raj Kumawat, " A Review : Noise System in MATLAB, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.817-822, July-August-2017.