Research Paper | Electronics & Communication Engineering | India | Volume 9 Issue 1, January 2020
A Multi Diversified GUI for Analysis of Image Denoising using Various Parameters
Deepti Rai, Kusha Shrivastava
Digital Image Processing is a promising area of research in the fields of electronics and communication engineering, consumer and entertainment electronics, control and instrumentation, biomedical instrumentation, remote sensing, robotics and computer vision and computer aided manufacturing (CAM). For a meaningful and useful processing such as image segmentation and object recognition, and to have very good visual display in applications like television, photo-phone, etc., the acquired image signal must be deblurred and made noise free. The deblurring and noise suppression (filtering) come under a common class of image processing tasks known as image restoration. This research work addresses several issues with image denoising taking into consideration several known parameters. For this purpose a GUI has been developed in Matlab which produced several research parameters.
Keywords: Haar wavelet, Median filter, Salt and Pepper noise, Gaussian noise, PSNR and RMSE
Edition: Volume 9 Issue 1, January 2020
Pages: 353 - 357
How to Cite this Article?
Deepti Rai, Kusha Shrivastava, "A Multi Diversified GUI for Analysis of Image Denoising using Various Parameters", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203888, Volume 9 Issue 1, January 2020, 353 - 357
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