Abstract

Noise and filtering noise are basic topics in the field of signal and image processing. In this study, an interactive simulator is designed for comprehension of related topics and to be reinforced theoretical knowledge with practical applications by students which have educated in these fields. Knowledge about noise and filtering in the field of image processing is easily, quickly and effectively gained to students with the simulator which includes many noise (Gaussian, Gamma, Rayleigh etc.) and filter (mean, median, min, max etc.) types, presents theoretical topics (explanations, mathematical statements, examples, etc.) about them visually, allows realizing of interactive applications (parameter and type changes etc.) and creates singular and comparative performance analysis.

References

[1] Gonzales RC, Woods RE. Digital image processing. 2nd ed. The elements of style. 3rd ed. New Jersey: Prentice HAll; 2002.
[2] Bovik A (Ed.). Handbook of image&video processing. Canada: Academic Press; 2000.
[3] Boyat AK, Joshi BK. A review paper: Noise models in digital image processing. Signal&Image Processing: An International Journal 2015; 6 (2): 63-75.
[4] Kaur S. Noise types and various removal techniques. International Journal of Advanced Research in Electronics and Communication Engineering 2015; 4(2): 226-230.
[5] Patidar P, Gupta M, Srivastava S, Nagawat AK. Image de-noising by various filters for different noise. International Journal of Computer Applications 2010; 9(4): 45-50.
[6] Kaur G, Kumar R, Kainth K. A review paper on different noise types and digital image processing. International Journal of Advanced Research in Computer Science and Software Engineering 2016; 6(6): 562-565.
[7] Verma R, Ali J. A comparative study of various types of image noise and efficient noise removal techniques. International Journal of Advanced Research in Computer Science and Software Engineering 2013; 3(10): 617-622.
[8] Suresh SS. A survey on types of noise model, noise and denoising technique in digital image processing. International Journal of Innovative Research in Computer and Communication Engineering 2017; 5(2): 50-56.
[9] Sontakke MD, Kulkarni MS. Different types of noises in images and noise removing technique. International Journal of Advanced Technology in Engineering and Science 2015; 3 (1): 102-115.
[10] Farooque MA, Rohankar JS. Survey on various noises and techniques for denoising the color image. International Journal of Application or Innovation in Engineering & Management 2013; 2(11): 217-221.
[11] Ramirez JM, Garcia-Aguilar RA, Báez-López D. ProDIM: Educational software for digital image processing. Computer Applications in Engineering Education 1995; 3(3): 165-172.
[12] Yapp CHW, See AKB. Teaching image processing: A two-step process. Computer Applications in Engineering Education 2008; 16(3): 211-222.
[13] Ayala M, Adjouadi M, Cabrerizo M, Barreto A. A Windows-based interface for teaching image processing. Computer Applications in Engineering Education 2010; 18(2): 213-224.
[14] Ramirez JM, Garcia-Aguilar RA, Báez-López D. ProDIM: Educational software for digital image processing. Computer Applications in Engineering Education 1995; 3(3): 165-172.
[15] MATLAB, The MathWorks Inc. Co.