Wavelet Based Medical Image Denoising Technique Based on Neural Network

被引：0

作者：

Pradeep, S. ^{[1
]}

Ribana, K. ^{[1
]}

机构：

[1] M Kumarsamy Coll Engn, Dept Elect & Commun Engn, Karur 639113, Tamil Nadu, India

来源：

BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS | 2018年 / 11卷 / 02期

关键词：

DENOSIE; MEDICAL IMAGE; NEURAL NETWORKS; THRESHOLDING; WAVELET TRANSFORM;

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

This paper is based on the wavelet based transform technique and multi scaling technique. The rippling basis perform employed in this methodology has reconciling characteristics. To differentiate it from the standard rippling, we tend to decision it based on mathematical definition in different scale coefficients. The time domain information is insufficient as compared to the frequency domain information. Fourier transform does the periodic windowing techniques. Wavelet could be Meyer, Morlet, Haar, Daubechies-4, Mexican-Hat, gives qualitative scaling.

引用

页码：82 / 87

页数：6

共 50 条

[41] Optimal bilateral filter and Convolutional Neural Network based denoising method of medical image measurements
Elhoseny, Mohamed
Shankar, K.
MEASUREMENT, 2019, 143 : 125 - 135
[42] Image compressions based on wavelet, fractal and neural network
Liu, GW
Yang, GW
Wang, ZL
THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2, 2003, 5286 : 380 - 383
[43] Image Denoising Based on Edge Enhancement and Convolutional Neural Network
Liu, Jing
Dong, Yu
Zhang, Xiaoyan
THIRTEENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2021), 2021, 11878
[44] Attention-based neural network for polarimetric image denoising
Liu, Hedong
Zhang, Yizhu
Cheng, Zhenzhou
Zhai, Jingsheng
Hu, Haofeng
OPTICS LETTERS, 2022, 47 (11) : 2726 - 2729
[45] Energy based denoising convolutional neural network for image enhancement
Karthikeyan, V.
Raja, E.
Pradeep, D.
IMAGING SCIENCE JOURNAL, 2024, 72 (01): : 105 - 120
[46] Image denoising method based on a deep convolution neural network
Zhang, Fu
Cai, Nian
Wu, Jixiu
Cen, Guandong
Wang, Han
Chen, Xindu
IET IMAGE PROCESSING, 2018, 12 (04) : 485 - 493
[47] Ultrasound Medical Image Denoising Using Threshold Based Wavelet Transformation Method
Kumar, C.
Prakash, R.
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2020, 10 (08) : 1825 - 1830
[48] Medical Image Denoising with Discrete Wavelet Transformation Based Threshold Different Level
Hariharareddy, J.
Kumari, Rosline Nesa G.
RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 : 167 - 173
[49] Research of image denoising based on wavelet threshold
Hou, Pei Guo
Gu, Hui Fen
Wang, Yu Tian
EMERGING SYSTEMS FOR MATERIALS, MECHANICS AND MANUFACTURING, 2012, 109 : 690 - 694
[50] Multiresolution image denoising based on wavelet transform
Hassanien, AE
El Henawy, I
Own, HS
WAVELETS: APPLICATIONS IN SIGNAL AND IMAGE PROCESSING IX, 2001, 4478 : 383 - 394

← 1 2 3 4 5 →