| 词条 | Multi-focus image fusion |
| 释义 |
}} Multi-focus image fusion is a multiple image compression technique using input images with different focus depths to make an output image that preserves information.[1][2] In visual sensor network (VSN), sensors are cameras which record images and video sequences. In many applications of VSN, a camera can't give a perfect illustration including all details of the scene. This is because of the limited depth of focus exists in the optical lens of cameras.[3] Therefore, just the object located in the focal length of camera is focused and cleared and the other parts of image are blurred. VSN has an ability to capture images with different depth of focuses in the scene using several cameras. Due to the large amount of data generated by camera compared to other sensors such as pressure and temperature sensors and some limitation such as limited band width, energy consumption and processing time, it is essential to process the local input images to decrease the amount of transmission data. The aforementioned reasons emphasize the necessary of multi-focus images fusion. Multi-focus image fusion is a process which combines the input multi-focus images into a single image including all important information of the input images and it's more accurate explanation of the scene than every single input image.[1] References1. ^1 {{Cite journal|last=M.|first=Amin-Naji|last2=A.|first2=Aghagolzadeh|date=2018|title=Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks|journal=Journal of AI and Data Mining|volume=6|issue=2|pages=233–250|doi=10.22044/jadm.2017.5169.1624|issn=2322-5211}} 2. ^{{Cite book|last=Naji|first=Mostafa Amin|last2=Aghagolzadeh|first2=Ali|title=Multi-focus image fusion in DCT domain based on correlation coefficient|journal=2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)|pages=632–639|language=en-US|doi=10.1109/kbei.2015.7436118|year=2015|isbn=978-1-4673-6506-2}} 3. ^{{Cite book|last=Naji|first=M. A.|last2=Aghagolzadeh|first2=A.|date=November 2015|title=Multi-focus image fusion in DCT domain based on correlation coefficient|journal=2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI)|pages=632–639|doi=10.1109/KBEI.2015.7436118|isbn=978-1-4673-6506-2}} 1 : Image processing |
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