# Novel image processing method inspired by wavelet transform

https://mdr.nims.go.jp/datasets/980e3c0a-d578-4bb3-984c-acdf7b7e17bf

## File

- [Image__process_inspired_by_WT_submit_R1_20230303_FU.docx](https://mdr.nims.go.jp/filesets/297b9710-7f7e-4e17-ae35-e208109edc28/download) ([Detail](https://mdr.nims.go.jp/filesets/297b9710-7f7e-4e17-ae35-e208109edc28.md))

## Id

980e3c0a-d578-4bb3-984c-acdf7b7e17bf

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-07-01T02:24:32.560842Z

## Updated at

2025-03-11T03:30:14.847833Z

## Published at

2025-03-11T03:30:16.174483Z

## Doi

https://doi.org/10.48505/nims.4565

## First published url

https://doi.org/10.1016/j.micron.2023.103442

## Date published

2023-03-11

## Recorded date published

2023-5

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Novel image processing method inspired by wavelet transform
  title_type: original
  lang: en

## Description

- description: 'I developed a new image processing method inspired by the wavelet
    transform that uses a concentric mother wavelet. The method can be used for noise
    filtering, feature extraction, image enhancement, and other applications. It is
    effective for images with low spatial frequencies. When filtering small-sized
    images, it is often difficult to set masks for Fourier filtering; however, the
    present method does not need mask setting, which can facilitate the filtering
    process. In practice, many concentric mother wavelets that have different frequencies
    are prepared in advance and the cross-correlation between the input image and
    the prepared wavelets is calculated. Reconstruction or image processing can be
    easily performed by combining the obtained results for each frequency. I believe
    that the present method could aid image processing related to material analysis. '
  description_type: abstract
  lang: und

## Creator

- name: Fumihiko Uesugi
  role: author
  orcid: https://orcid.org/0000-0003-3346-4218
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Fourier transform
  schema: not_defined
- subject: Image processing
  schema: not_defined
- subject: Wavelet transform
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo

start_date: 2023-03-11
end_date: 2025-03-11

## Journal

- title: Micron
  issn: '09684328'
  volume: '168'
  article_number: '103442'

## Conference



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## Measurement method



## Specimen



## Chemical composition



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## Fileset

- id: 297b9710-7f7e-4e17-ae35-e208109edc28
  filename: Image__process_inspired_by_WT_submit_R1_20230303_FU.docx
  content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
  size: 4625029
  md5: 4b9e0d20efdbebc0937986824e739a54

## Thumbnail

fileset_id: 297b9710-7f7e-4e17-ae35-e208109edc28
filename: Image__process_inspired_by_WT_submit_R1_20230303_FU.docx