Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform

Paul Hill; Harish Bhaskar; Mohammed Ebrahim Al-Mualla; David Bull

doi:10.1109/ICASSP.2016.7471869

Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform

Paul Hill, Harish Bhaskar, Mohammed Ebrahim Al-Mualla, David Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

5 Citations (Scopus)

342 Downloads (Pure)

Abstract

A novel adaptation of the two dimensional Homomorphic filter is introduced using the Dual Tree Complex Wavelet Transform for improved illumination invariant processing. The Homomorphic filter is conventionally implemented within the log-Fourier domain using an isotropic high-pass filter based on the assumption that the illumination signal occupies low spatial frequencies. In this case however, low frequency structural reflectance content will be incorrectly attenuated. Our method implements the Homomorphic filter using the DT-CWT and exploits the property of cross scale persistence (for structural content) to generate a filter that retains cross scale content and therefore reduces incorrect attenuation of structural reflectance content.

Original language	English
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)
Subtitle of host publication	Proceedings of a meeting held 20-25 March 2016, Shanghai, China
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9781479999880
ISBN (Print)	9781479999897
DOIs	https://doi.org/10.1109/ICASSP.2016.7471869
Publication status	Published - Jul 2016
Event	2016 (41st) IEEE Conference on Acoustics, Speech and Signal Processing - Shanghai International Convention Center/Oriental Riverside Hotel, Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 Conference number: 41 http://www.icassp2016.org/

Publication series

Name	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2379-190X

Conference

Conference	2016 (41st) IEEE Conference on Acoustics, Speech and Signal Processing
Abbreviated title	ICASSP
Country/Territory	China
City	Shanghai
Period	20/03/16 → 25/03/16
Internet address	http://www.icassp2016.org/

Keywords

Illumination
Wavelet
Homomorphic

Access to Document

10.1109/ICASSP.2016.7471869

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7471869/. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 737 KB

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Vision for the Future-Full
Bull, D. R.
1/02/15 → 31/01/20
Project: Research

Cite this

Hill, P., Bhaskar, H., Al-Mualla, M. E., & Bull, D. (2016). Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016): Proceedings of a meeting held 20-25 March 2016, Shanghai, China [7471869] (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.2016.7471869

Hill, Paul ; Bhaskar, Harish ; Al-Mualla, Mohammed Ebrahim et al. / Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016): Proceedings of a meeting held 20-25 March 2016, Shanghai, China. Institute of Electrical and Electronics Engineers (IEEE), 2016. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

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title = "Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform",

abstract = "A novel adaptation of the two dimensional Homomorphic filter is introduced using the Dual Tree Complex Wavelet Transform for improved illumination invariant processing. The Homomorphic filter is conventionally implemented within the log-Fourier domain using an isotropic high-pass filter based on the assumption that the illumination signal occupies low spatial frequencies. In this case however, low frequency structural reflectance content will be incorrectly attenuated. Our method implements the Homomorphic filter using the DT-CWT and exploits the property of cross scale persistence (for structural content) to generate a filter that retains cross scale content and therefore reduces incorrect attenuation of structural reflectance content.",

keywords = "Illumination, Wavelet, Homomorphic",

author = "Paul Hill and Harish Bhaskar and Al-Mualla, {Mohammed Ebrahim} and David Bull",

year = "2016",

month = jul,

doi = "10.1109/ICASSP.2016.7471869",

language = "English",

isbn = "9781479999897",

series = "IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)",

address = "United States",

note = "2016 (41st) IEEE Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 20-03-2016 Through 25-03-2016",

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Hill, P, Bhaskar, H, Al-Mualla, ME & Bull, D 2016, Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016): Proceedings of a meeting held 20-25 March 2016, Shanghai, China., 7471869, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2016 (41st) IEEE Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 20/03/16. https://doi.org/10.1109/ICASSP.2016.7471869

Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform. / Hill, Paul; Bhaskar, Harish; Al-Mualla, Mohammed Ebrahim et al.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016): Proceedings of a meeting held 20-25 March 2016, Shanghai, China. Institute of Electrical and Electronics Engineers (IEEE), 2016. 7471869 (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform

AU - Hill, Paul

AU - Bhaskar, Harish

AU - Al-Mualla, Mohammed Ebrahim

AU - Bull, David

N1 - Conference code: 41

PY - 2016/7

Y1 - 2016/7

N2 - A novel adaptation of the two dimensional Homomorphic filter is introduced using the Dual Tree Complex Wavelet Transform for improved illumination invariant processing. The Homomorphic filter is conventionally implemented within the log-Fourier domain using an isotropic high-pass filter based on the assumption that the illumination signal occupies low spatial frequencies. In this case however, low frequency structural reflectance content will be incorrectly attenuated. Our method implements the Homomorphic filter using the DT-CWT and exploits the property of cross scale persistence (for structural content) to generate a filter that retains cross scale content and therefore reduces incorrect attenuation of structural reflectance content.

AB - A novel adaptation of the two dimensional Homomorphic filter is introduced using the Dual Tree Complex Wavelet Transform for improved illumination invariant processing. The Homomorphic filter is conventionally implemented within the log-Fourier domain using an isotropic high-pass filter based on the assumption that the illumination signal occupies low spatial frequencies. In this case however, low frequency structural reflectance content will be incorrectly attenuated. Our method implements the Homomorphic filter using the DT-CWT and exploits the property of cross scale persistence (for structural content) to generate a filter that retains cross scale content and therefore reduces incorrect attenuation of structural reflectance content.

KW - Illumination

KW - Wavelet

KW - Homomorphic

U2 - 10.1109/ICASSP.2016.7471869

DO - 10.1109/ICASSP.2016.7471869

M3 - Conference Contribution (Conference Proceeding)

SN - 9781479999897

T3 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2016 (41st) IEEE Conference on Acoustics, Speech and Signal Processing

Y2 - 20 March 2016 through 25 March 2016

ER -

Hill P, Bhaskar H, Al-Mualla ME, Bull D. Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016): Proceedings of a meeting held 20-25 March 2016, Shanghai, China. Institute of Electrical and Electronics Engineers (IEEE). 2016. 7471869. (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)). Epub 2016 May 19. doi: 10.1109/ICASSP.2016.7471869

Improved Illumination Invariant Homomorphic Filtering Using the Dual Tree Complex Wavelet Transform

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