The multifocus images fusion based on a generative gradient map
The limitation of camera lens is inability to make focus region for whole scene in one shot image. The camera creates one focus object for one image. It is needed several images to get many focus objects of the scene. It makes difficult to read many focus objects from several images. Multifocus imag...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/37773/ http://umpir.ump.edu.my/id/eprint/37773/1/The%20multifocus%20images%20fusion%20based%20on%20a%20generative%20gradient%20map.pdf http://umpir.ump.edu.my/id/eprint/37773/2/The%20Multi%20focus%20Images%20Fusion%20Based_FULL.pdf |
| _version_ | 1848825341089415168 |
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| author | Ismail, . Kamarul Hawari, Ghazali |
| author_facet | Ismail, . Kamarul Hawari, Ghazali |
| author_sort | Ismail, . |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The limitation of camera lens is inability to make focus region for whole scene in one shot image. The camera creates one focus object for one image. It is needed several images to get many focus objects of the scene. It makes difficult to read many focus objects from several images. Multifocus image fusion is a process of combining many focus objects from several images into one image. This operation gives easier way to read focus information from many images clearer. It commonly needed in medical examination, robotics and bioinformatics fields. The clearness information enables machine, computer and human understand the image better and prevents any mistake. In an image, the clear object is only located in focus region. In order to generate all objects in focus region, the multi focus images will be fused into fused image. The methods generally use complicated mathematic equation and hard algorithm. In addition to handle the problem, we design a simple way and have accurate output. Our method is the multifocus image fusion based on generative gradient map. By generative gradient map, it quickly determines the initial prediction of focus region precisely. The Generative gradient map is the external information, generated from gradient of blurred random number image. This procedure substitutes complicated mathematical equations or hard algorithm sequence implementation. Finally, our algorithm able to produces a fused image with high quality. The assessment of our method is according to Mutual Information and Structure Similarity parameter. |
| first_indexed | 2025-11-15T03:27:23Z |
| format | Conference or Workshop Item |
| id | ump-37773 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:27:23Z |
| publishDate | 2020 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-377732023-06-06T07:46:58Z http://umpir.ump.edu.my/id/eprint/37773/ The multifocus images fusion based on a generative gradient map Ismail, . Kamarul Hawari, Ghazali TK Electrical engineering. Electronics Nuclear engineering The limitation of camera lens is inability to make focus region for whole scene in one shot image. The camera creates one focus object for one image. It is needed several images to get many focus objects of the scene. It makes difficult to read many focus objects from several images. Multifocus image fusion is a process of combining many focus objects from several images into one image. This operation gives easier way to read focus information from many images clearer. It commonly needed in medical examination, robotics and bioinformatics fields. The clearness information enables machine, computer and human understand the image better and prevents any mistake. In an image, the clear object is only located in focus region. In order to generate all objects in focus region, the multi focus images will be fused into fused image. The methods generally use complicated mathematic equation and hard algorithm. In addition to handle the problem, we design a simple way and have accurate output. Our method is the multifocus image fusion based on generative gradient map. By generative gradient map, it quickly determines the initial prediction of focus region precisely. The Generative gradient map is the external information, generated from gradient of blurred random number image. This procedure substitutes complicated mathematical equations or hard algorithm sequence implementation. Finally, our algorithm able to produces a fused image with high quality. The assessment of our method is according to Mutual Information and Structure Similarity parameter. Springer 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37773/1/The%20multifocus%20images%20fusion%20based%20on%20a%20generative%20gradient%20map.pdf pdf en http://umpir.ump.edu.my/id/eprint/37773/2/The%20Multi%20focus%20Images%20Fusion%20Based_FULL.pdf Ismail, . and Kamarul Hawari, Ghazali (2020) The multifocus images fusion based on a generative gradient map. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019 , 29 July 2019 , Kuantan. 401 -413., 632 (238739). ISSN 1876-1100 ISBN 978-981152316-8 (Published) https://doi.org/10.1007/978-981-15-2317-5_34 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ismail, . Kamarul Hawari, Ghazali The multifocus images fusion based on a generative gradient map |
| title | The multifocus images fusion based on a generative gradient map |
| title_full | The multifocus images fusion based on a generative gradient map |
| title_fullStr | The multifocus images fusion based on a generative gradient map |
| title_full_unstemmed | The multifocus images fusion based on a generative gradient map |
| title_short | The multifocus images fusion based on a generative gradient map |
| title_sort | multifocus images fusion based on a generative gradient map |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/37773/ http://umpir.ump.edu.my/id/eprint/37773/ http://umpir.ump.edu.my/id/eprint/37773/1/The%20multifocus%20images%20fusion%20based%20on%20a%20generative%20gradient%20map.pdf http://umpir.ump.edu.my/id/eprint/37773/2/The%20Multi%20focus%20Images%20Fusion%20Based_FULL.pdf |