NDLI: De-noising Filters for TEM (Transmission Electron Microscopy) Image of Nanomaterials

Content Provider	IEEE Xplore Digital Library
Author	Kushwaha, H.S. Tanwar, S. Rathore, K.S. Srivastava, S.
Copyright Year	2012
Abstract	TEM (Transmission Electron Microscopy) is an important morphological characterization tool for Nano-materials. Quite often a microscopy image gets corrupted by noise, which may arise in the process of acquiring the image, or during its transmission, or even during reproduction of the image. Removal of noise from an image is one of the most important tasks in image processing. Depending on the nature of the noise, such as additive or multiplicative type of noise, there are several approaches towards removing noise from an image. Image De-noising improves the quality of images acquired by optical, electro-optical or electronic microscopy. There are conventional methods like inverse filtering, Wiener filtering, Kalman filtering, Algebraic approach, etc., to restore the original object. The research paper aimed at describing &, comparing the usage of different types of filters namely Average Filter, Median Filter, and Wiener Filter for filtering amplifier noise present in a TEM Image of Nanomaterials. These filters are designed using a linear filtering Algorithm based on the sources of noise, pixel and the background of Image which depends on the substrate and Material present on TEM sample Grid.
Starting Page	276
Ending Page	281
File Size	746815
Page Count	6
File Format	PDF
ISBN	9781467304719
DOI	10.1109/ACCT.2012.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	De-noising Maximum likelihood detection Histogram Particle Size Distribution Noise Nonlinear filters Nanomaterials Information filtering Average Filter Wiener filter Gaussian noise Median Filter Wiener Filter Finite impulse response filter TEM
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Denoising of Stego-images for different noise models

Adaptive Order-Statistic Filters for optimal non-Gaussian noise suppression

A survey on switching median filters for impulse noise removal

Fast directional weighted median filter for removal of random-valued impulse noise

The learning type of mean and median hybrid filters

High density impulse noise removal based on linear mean-median filter

A new class of median/mean based filters

Impulse Detection Adaptive Fuzzy (IDAF) Filter

Negative Weighted Repeated Pseudo-median Filter

De-noising Filters for TEM (Transmission Electron Microscopy) Image of Nanomaterials

Similar Documents

Denoising of Stego-images for different noise models

Adaptive Order-Statistic Filters for optimal non-Gaussian noise suppression

A survey on switching median filters for impulse noise removal

Fast directional weighted median filter for removal of random-valued impulse noise

The learning type of mean and median hybrid filters

High density impulse noise removal based on linear mean-median filter

A new class of median/mean based filters

Impulse Detection Adaptive Fuzzy (IDAF) Filter

Negative Weighted Repeated Pseudo-median Filter

De-noising Filters for TEM (Transmission Electron Microscopy) Image of Nanomaterials