Removal of Salt-and-Pepper Noise Using Convolutional Neural Network
碩士 === 亞洲大學 === 資訊傳播學系 === 107 === A captured image may be interfered with by impulse noise during acquisition or transmission, which will deteriorate the quality of the image. The demand of image quality is also increasing, so the enhancement of corrupted images is important, such as the X-ray and...
Main Authors: | CHEN,JUI-HAN, 陳睿瀚 |
---|---|
Other Authors: | LU, CHING-TA |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/7q8p6z |
Similar Items
-
Salt and Pepper Noise: Effects and Removal
by: Jamil Azzeh, et al.
Published: (2018-07-01) -
Removal of Salt and Pepper Noise Using Deep-Learning Neural Network to Identify Pixel-Variation Direction
by: HSU,HSIN-JU, et al.
Published: (2019) -
VLSI Implementation for Efficient Removal of Salt-and-Pepper Noise
by: WEN,WEI-CHENG, et al.
Published: (2019) -
The PI-Remover Design for Salt-and-Pepper Noise Elimination
by: Shin-Jung Gu, et al.
Published: (2009) -
Salt-and-Pepper Noise Removal Based on Moving Least Squares
by: Zi-Hao Hong, et al.
Published: (2014)