Survey of Image De-noising using Wavelet Transform Combined with Thresholding Functions
سال انتشار: 1396
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 271
متن کامل این مقاله منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل مقاله (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_CRPASE-3-4_001
تاریخ نمایه سازی: 27 مرداد 1397
چکیده مقاله:
Noise reduction is still a challenging problem for researchers. Many algorithms have been published in this subject and each finding has its own benefit and restriction. In this paper,a review of noise removing using some unique thresholding functions is conducted. All of these techniques used wavelet transform combined with thresholding functions for image de-noising. Their proposed thresholding functions have some properties like nonlinearity, continuity and smoothness. These functions were introduced to overcome the standard soft and hard thresholding functions and also to improve the performance analysis and enhance the visual quality of the images in terms of obtaining higher peak signal to noise ratio. Therefore, we can call these functions as improved version of standard soft and hard thresholding functions.
کلیدواژه ها:
نویسندگان
Noorbakhsh Amiri Golilarz
Department of Electrical and Electronic Engineering, Eastern Mediterranean University, Cyprus
Niyifasha Robert
Center for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, China
Jalil Addeh
Department of Electrical Engineering, Babol Noshirvani University of Technology, Iran