Analysis of Image Noise Reduction Using Neural Network | ||
| Engineering and Technology Journal | ||
| Article 13, Volume 36, 1B, January 2018, Pages 76-87 PDF (1.44 M) | ||
| DOI: 10.30684/etj.36.1B.13 | ||
| Author | ||
| Mohanad N. Abdulwahed* | ||
| Materials Engineering Department, University of Technology, Baghdad, Iraq. | ||
| Abstract | ||
| Noise adding methods (impulse and Gaussian) are using in this work, adding this type of noise employ to mensuration the image quality as result, therefore transform of (RGB) colors to another type of color impersonation that easy to deal with it, also sensitivity of human eyes to detect the colors. Applying Noise reduction (mean method, mode method, median method) ,By using a test image, we demonstrate that the filtering structure yields an output image which is significantly better than those of median, weighted median .The program of this work is written with Delphi Language, which have some flexibility to deal with image that's not found in other language. The great feature of this language and the ability to process the image in memory (so the processing will be faster and easier), easy to access the parameters through the subroutines (however the size of it), showing the stored images that in memory to the displayer through one instruction. | ||
| Keywords | ||
| Noise Reduction; Gaussian Noise; Signal to Noise Raito; Noise adding Algorithms; noisy image | ||
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