PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network
In hybrid sensor networks, information fusion from heterogeneous sensors is important, but quite often information such as image is blurred. Single image deblurring is a highly ill-posed problem and usually regularized by alternating estimating point spread function (PSF) and recovering blur image,...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-10-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/758034 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849692431020195840 |
|---|---|
| author | Mingzhu Shi Shuaiqi Liu |
| author_facet | Mingzhu Shi Shuaiqi Liu |
| author_sort | Mingzhu Shi |
| collection | DOAJ |
| description | In hybrid sensor networks, information fusion from heterogeneous sensors is important, but quite often information such as image is blurred. Single image deblurring is a highly ill-posed problem and usually regularized by alternating estimating point spread function (PSF) and recovering blur image, which leads to high complexity and low efficiency. In this paper, we first propose an efficient PSF estimation algorithm based on gradient cepstrum analysis (GCA). Then, to verify the accuracy of the strategy, estimated PSFs are used for image deconvolution step, which exploits a novel total variation model coupling with a gradient fidelity term. We also adopt an alternating direction method (ADM) numerical algorithm with rapid convergence and high robustness to optimize the energy function. Both synthetic and real blur experiments show that our scheme can estimate PSF rapidly and produce comparable results without involving long time consuming. |
| format | Article |
| id | doaj-art-edc0c9c8cead48aea25ee9c615102ff8 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-edc0c9c8cead48aea25ee9c615102ff82025-08-20T03:20:43ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/758034758034PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor NetworkMingzhu Shi0Shuaiqi Liu1 College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300387, China College of Electronic and Information Engineering, Hebei University, Baoding 071000, ChinaIn hybrid sensor networks, information fusion from heterogeneous sensors is important, but quite often information such as image is blurred. Single image deblurring is a highly ill-posed problem and usually regularized by alternating estimating point spread function (PSF) and recovering blur image, which leads to high complexity and low efficiency. In this paper, we first propose an efficient PSF estimation algorithm based on gradient cepstrum analysis (GCA). Then, to verify the accuracy of the strategy, estimated PSFs are used for image deconvolution step, which exploits a novel total variation model coupling with a gradient fidelity term. We also adopt an alternating direction method (ADM) numerical algorithm with rapid convergence and high robustness to optimize the energy function. Both synthetic and real blur experiments show that our scheme can estimate PSF rapidly and produce comparable results without involving long time consuming.https://doi.org/10.1155/2015/758034 |
| spellingShingle | Mingzhu Shi Shuaiqi Liu PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network International Journal of Distributed Sensor Networks |
| title | PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network |
| title_full | PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network |
| title_fullStr | PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network |
| title_full_unstemmed | PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network |
| title_short | PSF Estimation via Gradient Cepstrum Analysis for Image Deblurring in Hybrid Sensor Network |
| title_sort | psf estimation via gradient cepstrum analysis for image deblurring in hybrid sensor network |
| url | https://doi.org/10.1155/2015/758034 |
| work_keys_str_mv | AT mingzhushi psfestimationviagradientcepstrumanalysisforimagedeblurringinhybridsensornetwork AT shuaiqiliu psfestimationviagradientcepstrumanalysisforimagedeblurringinhybridsensornetwork |