Literature DB >> 12022622

Multiscale contrast enhancement for radiographies: Laplacian Pyramid versus fast wavelet transform.

Sabine Dippel1, Martin Stahl, Rafael Wiemker, Thomas Blaffert.   

Abstract

Contrast enhancement of radiographies based on a multiscale decomposition of the images recently has proven to be a far more versatile and efficient method than regular unsharp-masking techniques, while containing these as a subset. In this paper, we compare the performance of two multiscale-methods, namely the Laplacian Pyramid and the fast wavelet transform (FWT). We find that enhancement based on the FWT suffers from one serious drawback-the introduction of visible artifacts when large structures are enhanced strongly. By contrast, the Laplacian Pyramid allows a smooth enhancement of large structures, such that visible artifacts can be avoided. Only for the enhancement of very small details, for denoising applications or compression of images, the FWT may have some advantages over the Laplacian Pyramid.

Mesh:

Year:  2002        PMID: 12022622     DOI: 10.1109/TMI.2002.1000258

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  10 in total

1.  Computer-aided detection of breast masses on full field digital mammograms.

Authors:  Jun Wei; Berkman Sahiner; Lubomir M Hadjiiski; Heang-Ping Chan; Nicholas Petrick; Mark A Helvie; Marilyn A Roubidoux; Jun Ge; Chuan Zhou
Journal:  Med Phys       Date:  2005-09       Impact factor: 4.071

2.  Digital radiographic image denoising via wavelet-based hidden Markov model estimation.

Authors:  Ricardo J Ferrari; Robin Winsor
Journal:  J Digit Imaging       Date:  2005-06       Impact factor: 4.056

3.  Synthesizing mammogram from digital breast tomosynthesis.

Authors:  Jun Wei; Heang-Ping Chan; Mark A Helvie; Marilyn A Roubidoux; Colleen H Neal; Yao Lu; Lubomir M Hadjiiski; Chuan Zhou
Journal:  Phys Med Biol       Date:  2019-02-11       Impact factor: 3.609

4.  Multiscale bilateral filtering for improving image quality in digital breast tomosynthesis.

Authors:  Yao Lu; Heang-Ping Chan; Jun Wei; Lubomir M Hadjiiski; Ravi K Samala
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

5.  A promising method of enhancement for early detection of ischemic stroke.

Authors:  Mehdi Sajjadi; Mehdi Karami; Rassoul Amirfattahi; Vahid Bateni; Mohammad R Ahamadzadeh; Bahareh Ebrahimi
Journal:  J Res Med Sci       Date:  2012-09       Impact factor: 1.852

6.  Feature and contrast enhancement of mammographic image based on multiscale analysis and morphology.

Authors:  Shibin Wu; Shaode Yu; Yuhan Yang; Yaoqin Xie
Journal:  Comput Math Methods Med       Date:  2013-12-12       Impact factor: 2.238

7.  Comparing the performance of image enhancement methods to detect microcalcification clusters in digital mammography.

Authors:  Hajar Moradmand; Saeed Setayeshi; Ali Reza Karimian; Mehri Sirous; Mohammad Esmaeil Akbari
Journal:  Iran J Cancer Prev       Date:  2012

8.  Assessment of hessian-based Frangi vesselness filter in optoacoustic imaging.

Authors:  Antonia Longo; Stefan Morscher; Jaber Malekzadeh Najafababdi; Dominik Jüstel; Christian Zakian; Vasilis Ntziachristos
Journal:  Photoacoustics       Date:  2020-07-13

9.  Image Defogging Framework Using Segmentation and the Dark Channel Prior.

Authors:  Sabiha Anan; Mohammad Ibrahim Khan; Mir Md Saki Kowsar; Kaushik Deb; Pranab Kumar Dhar; Takeshi Koshiba
Journal:  Entropy (Basel)       Date:  2021-02-26       Impact factor: 2.524

10.  Advances in multiscale image processing and its effects on image quality in skeletal radiography.

Authors:  Susan Notohamiprodjo; K M Roeper; F G Mueck; D Maxien; F Wanninger; B Hoberg; L Verstreepen; K M Treitl; F Fischer; O Peschel; S Wirth
Journal:  Sci Rep       Date:  2022-03-18       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.