The Design of Educational Simulator for Noise and Filter Types in Image Processing

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.