Quantum implementation of the classical guided image filtering algorithm
Abstract Image filtering involves the application of window operations that perform valuable functions, such as noise removal, image enhancement, high dynamic range (HDR) compression, and so on. Guided image filtering is a new type of explicit image filter with multiple advantages. It can effectivel...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-84211-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841559750752337920 |
|---|---|
| author | Jiale Mu Xiaofei Li Xianghua Zhang Pinghe Wang |
| author_facet | Jiale Mu Xiaofei Li Xianghua Zhang Pinghe Wang |
| author_sort | Jiale Mu |
| collection | DOAJ |
| description | Abstract Image filtering involves the application of window operations that perform valuable functions, such as noise removal, image enhancement, high dynamic range (HDR) compression, and so on. Guided image filtering is a new type of explicit image filter with multiple advantages. It can effectively remove noise while preserving edge details, and can be used in a variety of scenarios. Here, we report a quantum implementation of guided image filtering algorithm, based on the novel enhanced quantum representation (NEQR) model, and the corresponding quantum circuit has been designed. We find that the speed and quality of filtering are improved significantly due to the quantization, and the time complexity is reduced exponentially from $$O(2^{2q})$$ O ( 2 2 q ) to $$O(q^2)$$ O ( q 2 ) . |
| format | Article |
| id | doaj-art-87099a1546f24f859cbe5c036ff13313 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-87099a1546f24f859cbe5c036ff133132025-01-05T12:14:43ZengNature PortfolioScientific Reports2045-23222025-01-0115111910.1038/s41598-024-84211-8Quantum implementation of the classical guided image filtering algorithmJiale Mu0Xiaofei Li1Xianghua Zhang2Pinghe Wang3School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaDepartment of Electrical and Information Engineering, Hunan Institute of EngineeringSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of ChinaAbstract Image filtering involves the application of window operations that perform valuable functions, such as noise removal, image enhancement, high dynamic range (HDR) compression, and so on. Guided image filtering is a new type of explicit image filter with multiple advantages. It can effectively remove noise while preserving edge details, and can be used in a variety of scenarios. Here, we report a quantum implementation of guided image filtering algorithm, based on the novel enhanced quantum representation (NEQR) model, and the corresponding quantum circuit has been designed. We find that the speed and quality of filtering are improved significantly due to the quantization, and the time complexity is reduced exponentially from $$O(2^{2q})$$ O ( 2 2 q ) to $$O(q^2)$$ O ( q 2 ) .https://doi.org/10.1038/s41598-024-84211-8Image processingImage filteringGuided image filteringQuantum implementation |
| spellingShingle | Jiale Mu Xiaofei Li Xianghua Zhang Pinghe Wang Quantum implementation of the classical guided image filtering algorithm Scientific Reports Image processing Image filtering Guided image filtering Quantum implementation |
| title | Quantum implementation of the classical guided image filtering algorithm |
| title_full | Quantum implementation of the classical guided image filtering algorithm |
| title_fullStr | Quantum implementation of the classical guided image filtering algorithm |
| title_full_unstemmed | Quantum implementation of the classical guided image filtering algorithm |
| title_short | Quantum implementation of the classical guided image filtering algorithm |
| title_sort | quantum implementation of the classical guided image filtering algorithm |
| topic | Image processing Image filtering Guided image filtering Quantum implementation |
| url | https://doi.org/10.1038/s41598-024-84211-8 |
| work_keys_str_mv | AT jialemu quantumimplementationoftheclassicalguidedimagefilteringalgorithm AT xiaofeili quantumimplementationoftheclassicalguidedimagefilteringalgorithm AT xianghuazhang quantumimplementationoftheclassicalguidedimagefilteringalgorithm AT pinghewang quantumimplementationoftheclassicalguidedimagefilteringalgorithm |