Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization
This paper presents a novel computational integral imaging reconstruction (CIIR) method using elemental image blending to eliminate the normalization process in CIIR. Normalization is commonly used in CIIR to address uneven overlapping artifacts. By incorporating elemental image blending, we remove...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/12/5468 |
| _version_ | 1797592723916587008 |
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| author | Eunsu Lee Hyunji Cho Hoon Yoo |
| author_facet | Eunsu Lee Hyunji Cho Hoon Yoo |
| author_sort | Eunsu Lee |
| collection | DOAJ |
| description | This paper presents a novel computational integral imaging reconstruction (CIIR) method using elemental image blending to eliminate the normalization process in CIIR. Normalization is commonly used in CIIR to address uneven overlapping artifacts. By incorporating elemental image blending, we remove the normalization step in CIIR, leading to decreased memory consumption and computational time compared to those of existing techniques. We conducted a theoretical analysis of the impact of elemental image blending on a CIIR method using windowing techniques, and the results showed that the proposed method is superior to the standard CIIR method in terms of image quality. We also performed computer simulations and optical experiments to evaluate the proposed method. The experimental results showed that the proposed method enhances the image quality over that of the standard CIIR method, while also reducing memory usage and processing time. |
| first_indexed | 2024-03-11T01:57:12Z |
| format | Article |
| id | doaj.art-924352448a51434cb62eed76b735fa1f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T01:57:12Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-924352448a51434cb62eed76b735fa1f2023-11-18T12:31:29ZengMDPI AGSensors1424-82202023-06-012312546810.3390/s23125468Computational Integral Imaging Reconstruction via Elemental Image Blending without NormalizationEunsu Lee0Hyunji Cho1Hoon Yoo2Department of Computer Science, Sangmyung University, Seoul 110-743, Republic of KoreaDepartment of Computer Science, Sangmyung University, Seoul 110-743, Republic of KoreaDepartment of Intelligent IOT, Sangmyung University, Seoul 110-743, Republic of KoreaThis paper presents a novel computational integral imaging reconstruction (CIIR) method using elemental image blending to eliminate the normalization process in CIIR. Normalization is commonly used in CIIR to address uneven overlapping artifacts. By incorporating elemental image blending, we remove the normalization step in CIIR, leading to decreased memory consumption and computational time compared to those of existing techniques. We conducted a theoretical analysis of the impact of elemental image blending on a CIIR method using windowing techniques, and the results showed that the proposed method is superior to the standard CIIR method in terms of image quality. We also performed computer simulations and optical experiments to evaluate the proposed method. The experimental results showed that the proposed method enhances the image quality over that of the standard CIIR method, while also reducing memory usage and processing time.https://www.mdpi.com/1424-8220/23/12/5468computational integral imaging reconstructionintegral imaging |
| spellingShingle | Eunsu Lee Hyunji Cho Hoon Yoo Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization Sensors computational integral imaging reconstruction integral imaging |
| title | Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization |
| title_full | Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization |
| title_fullStr | Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization |
| title_full_unstemmed | Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization |
| title_short | Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization |
| title_sort | computational integral imaging reconstruction via elemental image blending without normalization |
| topic | computational integral imaging reconstruction integral imaging |
| url | https://www.mdpi.com/1424-8220/23/12/5468 |
| work_keys_str_mv | AT eunsulee computationalintegralimagingreconstructionviaelementalimageblendingwithoutnormalization AT hyunjicho computationalintegralimagingreconstructionviaelementalimageblendingwithoutnormalization AT hoonyoo computationalintegralimagingreconstructionviaelementalimageblendingwithoutnormalization |