An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images
Digital image processing is an exciting area of research with a variety of applications including medical, surveillance security systems, defence, and space applications. Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing ima...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Reconfigurable Computing |
| Online Access: | http://dx.doi.org/10.1155/2016/3020473 |
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| author | Chandrajit Pal Avik Kotal Asit Samanta Amlan Chakrabarti Ranjan Ghosh |
| author_facet | Chandrajit Pal Avik Kotal Asit Samanta Amlan Chakrabarti Ranjan Ghosh |
| author_sort | Chandrajit Pal |
| collection | DOAJ |
| description | Digital image processing is an exciting area of research with a variety of applications including medical, surveillance security systems, defence, and space applications. Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. In this paper, we present the FPGA implementation of an edge-preserving anisotropic diffusion filter for digital images. The designed architecture completely replaced the convolution operation and implemented the same using simple arithmetic subtraction of the neighboring intensities within a kernel, preceded by multiple operations in parallel within the kernel. To improve the image reconstruction quality, the diffusion coefficient parameter, responsible for controlling the filtering process, has been properly analyzed. Its signal behavior has been studied by subsequently scaling and differentiating the signal. The hardware implementation of the proposed design shows better performance in terms of reconstruction quality and accelerated performance with respect to its software implementation. It also reduces computation, power consumption, and resource utilization with respect to other related works. |
| format | Article |
| id | doaj-art-4a8215fd46fe418ba01ec07ad5ddc583 |
| institution | Kabale University |
| issn | 1687-7195 1687-7209 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Reconfigurable Computing |
| spelling | doaj-art-4a8215fd46fe418ba01ec07ad5ddc5832025-02-03T01:32:52ZengWileyInternational Journal of Reconfigurable Computing1687-71951687-72092016-01-01201610.1155/2016/30204733020473An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of ImagesChandrajit Pal0Avik Kotal1Asit Samanta2Amlan Chakrabarti3Ranjan Ghosh4A. K. Choudhury School of Information Technology, University of Calcutta, JD-2, Sector III, Salt Lake City, Kolkata 700098, IndiaDepartment of Applied Optics and Photonics, University of Calcutta, JD-2, Sector III, Salt Lake City, Kolkata 700098, IndiaA. K. Choudhury School of Information Technology, University of Calcutta, JD-2, Sector III, Salt Lake City, Kolkata 700098, IndiaA. K. Choudhury School of Information Technology, University of Calcutta, JD-2, Sector III, Salt Lake City, Kolkata 700098, IndiaInstitute of Radio Physics and Electronics, University of Calcutta, JD-2, Sector III, Salt Lake City, Kolkata 700098, IndiaDigital image processing is an exciting area of research with a variety of applications including medical, surveillance security systems, defence, and space applications. Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. In this paper, we present the FPGA implementation of an edge-preserving anisotropic diffusion filter for digital images. The designed architecture completely replaced the convolution operation and implemented the same using simple arithmetic subtraction of the neighboring intensities within a kernel, preceded by multiple operations in parallel within the kernel. To improve the image reconstruction quality, the diffusion coefficient parameter, responsible for controlling the filtering process, has been properly analyzed. Its signal behavior has been studied by subsequently scaling and differentiating the signal. The hardware implementation of the proposed design shows better performance in terms of reconstruction quality and accelerated performance with respect to its software implementation. It also reduces computation, power consumption, and resource utilization with respect to other related works.http://dx.doi.org/10.1155/2016/3020473 |
| spellingShingle | Chandrajit Pal Avik Kotal Asit Samanta Amlan Chakrabarti Ranjan Ghosh An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images International Journal of Reconfigurable Computing |
| title | An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images |
| title_full | An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images |
| title_fullStr | An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images |
| title_full_unstemmed | An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images |
| title_short | An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images |
| title_sort | efficient fpga implementation of optimized anisotropic diffusion filtering of images |
| url | http://dx.doi.org/10.1155/2016/3020473 |
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