Academic Journal

An Algorithm of Suppressing Image Noise Based on Wavelet Threshold Function and Improved Median Filtering

التفاصيل البيبلوغرافية
العنوان: An Algorithm of Suppressing Image Noise Based on Wavelet Threshold Function and Improved Median Filtering
المؤلفون: GAI, Liang
المصدر: DEStech Transactions on Computer Science and Engineering; International Conference on Computer, Mechatronics and Electronic Engineering (CMEE 2016) ; 2475-8841
بيانات النشر: DEStech Publications, Inc.
سنة النشر: 2017
المجموعة: DPI Journals (Destech Publications)
مصطلحات موضوعية: Mixed noise, Improved median filter, Wavelet threshold, PSNR
الوصف: For the presence of salt-and-pepper noise and Gaussian noise in image processing, an algorithm of suppressing image noise based on the wavelet threshold function and improved median filter is proposed. In this algorithm, salt-and-pepper noise is firstly estimated via the significant differences of pixel grayscale values between the salt-and-pepper noise and its surrounding, and then the 3×3 template is applied in order to filter out salt-and-pepper noise iteratively. Experimental results show that the peak signal to noise ratio (PSNR) is increased, the mean square error (MSE) is decreased and the image detail information is better preserved.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://www.dpi-journals.com/index.php/dtcse/article/view/5338
DOI: 10.12783/dtcse/cmee2016/5338
الاتاحة: https://www.dpi-journals.com/index.php/dtcse/article/view/5338
https://doi.org/10.12783/dtcse/cmee2016/5338
Rights: Copyright (c) 2017 DEStech Transactions on Computer Science and Engineering
رقم الانضمام: edsbas.F9F2FDB4
قاعدة البيانات: BASE
الوصف
DOI:10.12783/dtcse/cmee2016/5338